Difference between revisions of "Team:HBUT-China/Model"

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    <section class="section"></section>
  
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    <section class="section">
  
<div class="column full_size judges-will-not-evaluate">
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<h3>★  ALERT! </h3>
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        <div class="container">
<p>This page is used by the judges to evaluate your team for the <a href="https://2018.igem.org/Judging/Medals">medal criterion</a> or <a href="https://2018.igem.org/Judging/Awards"> award listed below</a>. </p>
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            <center>
<p> Delete this box in order to be evaluated for this medal criterion and/or award. See more information at <a href="https://2018.igem.org/Judging/Pages_for_Awards"> Instructions for Pages for awards</a>.</p>
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                <h1 style="font-size:350%;">
</div>
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                        Model
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                </h1>
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                <p class="subtitle">
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                        <!-- Wuhan China -->
 +
                        <!-- <strong>Bulma</strong>! -->
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                    </p>
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            </center>
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            <br/>
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            <br/>
  
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            <div class="content" style="width:80%;margin-left: auto;margin-right: auto;">
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                <div>
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                    <h1 style="font-size:16pt; line-height:172%; margin:0pt 0pt 10pt; orphans:0; page-break-after:avoid; page-break-inside:avoid; text-align:center; text-indent:24.1pt; widows:0"><span
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                            style="color:#ff0000; display:none; font-family:'Times New Roman'; font-size:16pt; font-weight:bold">Equation
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                            Chapter 1 Section 1</span><span style="font-family:'Times New Roman'; font-size:16pt; font-weight:bold">Modelling</span></h1>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
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                            style="font-family:'Times New Roman'; font-size:12pt">Our experiment creates a biological device for
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                            measuring Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt"> concentration. Therefore, the main purpose of
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                            our modeling is to find the functional relationship between the ambient Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt"> concentration (Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">envior.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">) and the luminescent intensity (LI) expressed by
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                            Lux. Firstly, we established a mathematical model to describe the dynamic process of the whole
 +
                            experiment, compared the predicted results with the experimental data, and adjusted the model with the
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                            experimental data to obtain the functional relationship between Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">envior.
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                        </span><span style="font-family:'Times New Roman'; font-size:12pt">and LI.</span></p>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
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                            style="font-family:'Times New Roman'; font-size:12pt">Our model is divided into three parts. Firstly,
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                            NikABCDE is an ABC superfamily transport system, whose function is to transport Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">. Secondly, NcrB protein is the core regulatory
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                            system, which can bind with Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">and then release the inhibition of
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                            promoter PncrA. Thirdly, as the inhibition of PncrA is released, the fluorescent protein gene of
 +
                            LuxCDABE connected downstream of PncrA can express and luminescence. Models are established for these
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                            three parts, and the effect of Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">envior.</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt"> concentration on luminescent intensity is
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                            obtained.</span></p>
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                    <h1 style="font-size:16pt; line-height:172%; margin:0pt 0pt 10pt; orphans:0; page-break-after:avoid; page-break-inside:avoid; text-align:center; widows:0"><span
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                            style="font-family:'Times New Roman'; font-size:16pt; font-weight:bold">S</span><span style="font-family:'Times New Roman'; font-size:16pt; font-weight:bold">ymbol
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                            Description</span></h1>
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                    <div style="text-align:center">
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                        <table cellspacing="0" cellpadding="0" style="border-collapse:collapse; margin:0 auto; width:404pt">
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                            <tr>
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                                <td style="border-bottom-color:#000000; border-bottom-style:solid; border-bottom-width:0.75pt; border-top-color:#000000; border-top-style:solid; border-top-width:1.5pt; padding-left:5.4pt; padding-right:5.4pt; vertical-align:middle; width:63.75pt">
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                                    <p style="font-size:12pt; line-height:150%; margin:0pt 0pt 10pt; orphans:0; text-align:center; text-indent:10pt; widows:0"><span
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                                            style="font-family:'Times New Roman'; font-size:12pt; font-weight:bold">Symbol</span></p>
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                                </td>
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                                <td style="border-bottom-color:#000000; border-bottom-style:solid; border-bottom-width:0.75pt; border-top-color:#000000; border-top-style:solid; border-top-width:1.5pt; padding-left:5.4pt; padding-right:5.4pt; vertical-align:middle; width:318.65pt">
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                                    <p style="font-size:12pt; line-height:150%; margin:0pt 0pt 10pt; orphans:0; page-break-after:avoid; text-align:justify; text-indent:24.1pt; widows:0"><span
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                                            style="font-family:'Times New Roman'; font-size:12pt; font-weight:bold">Description</span></p>
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                                </td>
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                            </tr>
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                            <tr>
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                                <td style="border-top-color:#000000; border-top-style:solid; border-top-width:0.75pt; padding-left:5.4pt; padding-right:5.4pt; vertical-align:middle; width:63.75pt">
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                                    <p style="font-size:12pt; line-height:150%; margin:0pt 0pt 10pt; orphans:0; text-align:center; text-indent:24pt; widows:0"><span
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                                            style="font-family:'Times New Roman'; font-size:12pt; font-style:italic">k</span><span
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                                            style="font-family:'Times New Roman'; font-size:8pt; font-style:italic; vertical-align:sub">i</span></p>
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                                </td>
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                                <td style="border-top-color:#000000; border-top-style:solid; border-top-width:0.75pt; padding-left:5.4pt; padding-right:5.4pt; vertical-align:middle; width:318.65pt">
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                                    <p style="font-size:12pt; line-height:150%; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
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                                            style="font-family:'Times New Roman'; font-size:12pt">Rate constants for each reaction</span></p>
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                                </td>
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                            </tr>
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                            <tr>
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                                <td style="padding-left:5.4pt; padding-right:5.4pt; vertical-align:middle; width:63.75pt">
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                                    <p style="font-size:12pt; line-height:150%; margin:0pt 0pt 10pt; orphans:0; text-align:center; text-indent:24pt; widows:0"><span
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                                            style="font-family:'Times New Roman'; font-size:12pt; font-style:italic">Ni</span></p>
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                                </td>
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                                <td style="padding-left:5.4pt; padding-right:5.4pt; vertical-align:middle; width:318.65pt">
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                                    <p style="font-size:12pt; line-height:150%; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
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                                            style="font-family:'Times New Roman'; font-size:12pt">The concentration of Ni</span><span
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                                            style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+ </span><span
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                                            style="font-family:'Times New Roman'; font-size:12pt">in cells</span></p>
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                                </td>
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                            </tr>
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                            <tr>
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                                <td style="padding-left:5.4pt; padding-right:5.4pt; vertical-align:middle; width:63.75pt">
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                                    <p style="font-size:12pt; line-height:150%; margin:0pt 0pt 10pt; orphans:0; text-align:center; text-indent:24pt; widows:0"><span
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                                            style="font-family:'Times New Roman'; font-size:12pt; font-style:italic">Ni</span><span
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                                            style="font-family:'Times New Roman'; font-size:8pt; font-style:italic; vertical-align:sub">envior.</span></p>
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                                </td>
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                                <td style="padding-left:5.4pt; padding-right:5.4pt; vertical-align:middle; width:318.65pt">
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                                    <p style="font-size:12pt; line-height:150%; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
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                                            style="font-family:'Times New Roman'; font-size:12pt">Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span
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                                            style="font-family:'Times New Roman'; font-size:12pt"> concentration in the
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                                            extracellular environment</span></p>
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                                </td>
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                            </tr>
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                            <tr>
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                                <td style="padding-left:5.4pt; padding-right:5.4pt; vertical-align:middle; width:63.75pt">
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                                    <p style="font-size:12pt; line-height:150%; margin:0pt 0pt 10pt; orphans:0; text-align:center; text-indent:24pt; widows:0"><span
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                                            style="font-family:'Times New Roman'; font-size:12pt; font-style:italic">E</span></p>
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                                </td>
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                                <td style="padding-left:5.4pt; padding-right:5.4pt; vertical-align:middle; width:318.65pt">
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                                    <p style="font-size:12pt; line-height:150%; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
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                                            style="font-family:'Times New Roman'; font-size:12pt">Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+
 +
                                        </span><span style="font-family:'Times New Roman'; font-size:12pt">transporter protein
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                                            concentration (quantity)--NikABCDE</span></p>
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                                </td>
 +
                            </tr>
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                            <tr>
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                                <td style="padding-left:5.4pt; padding-right:5.4pt; vertical-align:middle; width:63.75pt">
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                                    <p style="font-size:12pt; line-height:150%; margin:0pt 0pt 10pt; orphans:0; text-align:center; text-indent:24pt; widows:0"><span
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                                            style="font-family:'Times New Roman'; font-size:12pt; font-style:italic">R</span></p>
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                                </td>
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                                <td style="padding-left:5.4pt; padding-right:5.4pt; vertical-align:middle; width:318.65pt">
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                                    <p style="font-size:12pt; line-height:150%; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
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                                            style="font-family:'Times New Roman'; font-size:12pt">Concentration of NcrB in E.coli</span></p>
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                                </td>
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                            </tr>
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                            <tr>
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                                <td style="padding-left:5.4pt; padding-right:5.4pt; vertical-align:middle; width:63.75pt">
 +
                                    <p style="font-size:12pt; line-height:150%; margin:0pt 0pt 10pt; orphans:0; text-align:center; text-indent:24pt; widows:0"><span
 +
                                            style="font-family:'Times New Roman'; font-size:12pt; font-style:italic">P</span></p>
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                                </td>
 +
                                <td style="padding-left:5.4pt; padding-right:5.4pt; vertical-align:middle; width:318.65pt">
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                                    <p style="font-size:12pt; line-height:150%; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
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                                            style="font-family:'Times New Roman'; font-size:12pt">Promoter PncrA that binds to NcrB
 +
                                            repressor</span></p>
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                                </td>
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                            </tr>
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                            <tr>
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                                <td style="padding-left:5.4pt; padding-right:5.4pt; vertical-align:middle; width:63.75pt">
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                                    <p style="font-size:12pt; line-height:150%; margin:0pt 0pt 10pt; orphans:0; text-align:center; text-indent:24pt; widows:0"><span
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                                            style="font-family:'Times New Roman'; font-size:12pt; font-style:italic">LI</span></p>
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                                </td>
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                                <td style="padding-left:5.4pt; padding-right:5.4pt; vertical-align:middle; width:318.65pt">
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                                    <p style="font-size:12pt; line-height:150%; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
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                                            style="font-family:'Times New Roman'; font-size:12pt">Luminescent Intensity</span></p>
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                                </td>
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                            </tr>
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                            <tr>
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                                <td style="padding-left:5.4pt; padding-right:5.4pt; vertical-align:middle; width:63.75pt">
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                                    <p style="font-size:10.5pt; line-height:150%; margin:0pt 0pt 10pt; orphans:0; text-align:center; text-indent:24pt; widows:0"><img
 +
                                            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3TJkiVh8eLFuT7f8ME/dOiQZ4ntFnmgMgPY5/noXPdMn5U+a1b+WPHp06ewcOHCFpkcVbEeyEfLjHArp5c56q57oXP9+nWxpiVbRQx+ziWta5QCgCd/ljj915G/Pbx06VLdlDg+wx4oBcD4+HhOtd27d+favvHmzZvcwx/G4xdB3kvta5cCYN68eTltN23alGv7xq5du3JdvCaO1H4PlALAq758+XLflbXfvXsXbt++nbU3b97c6DVxNiFWZswDjQDA7Z8/3VuNt27dapvhxo0buXZstNcDpQDg2z7RypUrVe0p+SjUpnueFJaB5ezZs+lLJJ4U8uP7Ak+cJTTObSj1ffv2eba/avNm0l9Dbb5zPHHiRHceXvFNYBHdu3ePPxpNf+vXry9imUwe8WY88F69erWQz3YmXwlPJltENu/37992OK0nr5onk1vIlCd59tAzPogOew3s4zroL5spf/78OYhLtVoGSC8kjLfO8IFIvv/Pjd+5c6dQTlHnmTNnsrlloEm2ncnktXPR9IH1cQ0P3OTBVabbdF9/YIb8haBSACATB1gQEGQCnzzezfV7cNTpw4qTXFa6p2T7ScfJMNNFNnuRlURkBul25MgRdf9vy0oAYHXyjX/mEDlG5VQcpMySfFKWyfWBvnz5cjpW5XXklKVogmipiE9ZyAPQAqPfDFClk9VHdfRkTtE2CI+3wwJVMnxZJ9Pz1wKACaRFgoLTKCcmJnqU84LL2mQRAAQpBSdfF+fYyRAAzxPGAToBUCUZgzML8wgo/dqSlG18MMUHEEXIkU7IKAuM+CnRyWdE5tLH9oa/PMDJovYcBH/yHCUViy/sGJ32PMZYEVXJLOJXXyMAiHkQZfJIOTNWKx0HCO04nXZyZ5G7nN2bdW4QmAguTrbycIgNps1WrDquwQ99AAGl+nByk9UmXZmnAGKHQCd5FnzU6YdH15CeyCPY0oVFgB8kR6V8JQfVyRRfUTl0AGCEgmsdqKAmf2WUGsyYyAaM7COSQwg8JHmsbhyMA5XqAZBIwGE+zlYAJM9eW3OKSjme+Za0bQIkKwsbdU3x67xDvwJrAUA/Zyx+1LHNUlOZdo6tDxUArEqMIKAiVo41jBRI8CwpJZJWLQEWm8JtBvBBsfOsg9Uv3dCFXxPSSrfZhXmSTylitUu27LdZDaBCgEB8lGQECNtp2+2yqcxUQMk/zSwtmdxvN47yCBayMU4HMBtU6yQ5ruy6cjyylF49r3UwALJkAdTkzqYIAHZFK3hcQwFEN8Am4NO2fGQ4+vhpW2G+spTNgE1lMr+MhgoAjBLSrUIyTobbdK0067OCnU9d6R8ZfkVaXutgm57h0faDDA8OK0N1bS+AGp0FYOb7w5q1kToruega9MsP0s+CStsEOjSVKX2LyqEBQOnKn4hRihUvoyktCQBlQZVD7GHJzvd1rRofIPjsqsTpTUj6SX+ykM44mm/BWZdZJEfnGmQoM9ktpR+Z0qOozHu7iGNAfTqsFImzhzy7x8FL4HGK3zoYwyHi18GLgFSRHKxDp3jlZMbrso3maMXDr9WqMV/quh7IkkFmstudgI0cnYE4vHItgaiJTK+Hbw8FAFr9BNEaZpXR6vNp0a5sgoyj2DMxnhQoeXKG3T6sfOo2yGQdHMoPvTQfmXXBlFy7+tEf+UUZDn57PsEO7PKg1ZZi937mSjdKmwWayGR+FU07ABRYa4QQbBWjD54i51tHS45d6dojCV4R2XSp+bZkHs4EDP0Q86wcW/dnHbIcq9fy0OZAKJKv/BaiOTb4zGkiU7LLysqvgpMLD5U+fPhQ+gckyUoPX758CaOjo2Hu3LlD1ctf7Nu3b4EvphIABF5f859m3Lx5M5w7dy79iT8JbrD/nwL9zIV//vz5pa/NNV8ltkNlr9mnIlOypz0DlCHvX+7Xnlx2UNRJ3m9nbbS59IOQDCGx0uMBfS7/5MmTnjE6nj59mvYnZ4vC8TZ1tmoLaJNjqnThi6LVq1enLAT54MGDYcGCBeHixYvhypUraX9yWA1jNX9DWXWNYY1FAEzR0+zLDx48SL9/fPHiRSqFz8mSg9o/EXiZHQEgT3S0jGeAjgZeZkcAyBMdLSMAOhp4mR0BIE90tIwA6GjgZXYEgDzR0TICoKOBl9kRAPJER8sIgI4GXmZHAMgTHS0jADoaeJn9HxpXEm0iN50WAAAAAElFTkSuQmCC" width="54" height="25" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /></p>
 +
                                </td>
 +
                                <td style="padding-left:5.4pt; padding-right:5.4pt; vertical-align:middle; width:318.65pt">
 +
                                    <p style="font-size:12pt; line-height:150%; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
 +
                                            style="font-family:'Times New Roman'; font-size:12pt">mRNA production rate from NcrB
 +
                                            DNA</span></p>
 +
                                </td>
 +
                            </tr>
 +
                            <tr>
 +
                                <td style="border-bottom-color:#000000; border-bottom-style:solid; border-bottom-width:1.5pt; padding-left:5.4pt; padding-right:5.4pt; vertical-align:middle; width:63.75pt">
 +
                                    <p style="font-size:10.5pt; line-height:150%; margin:0pt 0pt 10pt; orphans:0; text-align:center; text-indent:24pt; widows:0"><img
 +
                                            src="data:image/png;base64,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" width="54" height="25" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /></p>
 +
                                </td>
 +
                                <td style="border-bottom-color:#000000; border-bottom-style:solid; border-bottom-width:1.5pt; padding-left:5.4pt; padding-right:5.4pt; vertical-align:middle; width:318.65pt">
 +
                                    <p style="font-size:12pt; line-height:150%; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
 +
                                            style="font-family:'Times New Roman'; font-size:12pt">Translation rate of NcrB mRNA</span></p>
 +
                                </td>
 +
                            </tr>
 +
                        </table>
 +
                    </div>
 +
                    <h1 style="font-size:16pt; line-height:172%; margin:0pt 0pt 10pt; orphans:0; page-break-after:avoid; page-break-inside:avoid; text-align:center; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:16pt; font-weight:bold">NikABCDE Transports Ni</span><span
 +
                            style="font-family:'Times New Roman'; font-size:10.67pt; font-weight:bold; vertical-align:super">2+</span></h1>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">NikABCDE is an ABC superfamily transport system,
 +
                            and can transport Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> for E.coli. Among them, two transmembrane
 +
                            proteins, NikB and NikC, constitute the transmembrane core of the transport system. NikA is the
 +
                            periplasmic binding protein (PBP), which can transfer captured nickel ions to the NikBC core, and NikD
 +
                            and NikE are two cytoplasmic proteins (De Pina, et al., 1995). Navarro, et al., 1993).</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">NikABCDE system for transporting Ni</span><span
 +
                            style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2 +</span><span style="font-family:'Times New Roman'; font-size:12pt">
 +
                            process shows below</span></p>
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                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><img 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"
 +
                            width="248" height="33" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /><span
 +
                            style="width:182.5pt; text-indent:0pt; display:inline-block; -aw-tabstop-align:center; -aw-tabstop-pos:208pt"></span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> </span><span style="width:205.5pt; text-indent:0pt; display:inline-block; -aw-tabstop-align:right; -aw-tabstop-pos:415pt"></span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt; font-style:italic">k</span><span
 +
                            style="font-family:'Times New Roman'; font-size:8pt; font-style:italic; vertical-align:sub">e </span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">is the binding rate of nikABCDE and Ni</span><span
 +
                            style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+ </span><span style="font-family:'Times New Roman'; font-size:12pt">,
 +
                            and the value of </span><span style="font-family:'Times New Roman'; font-size:12pt; font-style:italic">k</span><span
 +
                            style="font-family:'Times New Roman'; font-size:8pt; font-style:italic; vertical-align:sub">e  </span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">is 0.1uM(Englert, 2010).</span></p>
 +
                    <h2 style="font-size:15pt; line-height:172%; margin:0pt 0pt 10pt; orphans:0; page-break-after:avoid; page-break-inside:avoid; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:15pt; font-weight:bold">1</span><span style="font-family:'Times New Roman'; font-size:15pt; font-weight:bold">.</span><span
 +
                            style="background-color:#ffffff; font-family:'Times New Roman'; font-size:15pt; font-weight:bold">
 +
                        </span><span style="font-family:'Times New Roman'; font-size:15pt; font-weight:bold">Assumption</span></h2>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt 45pt; orphans:0; text-align:justify; text-indent:-21pt; widows:0"><span
 +
                            style="background-color:#ffffff; color:#2e3033; font-family:Wingdings; font-size:12pt"></span><span
 +
                            style="font:7.0pt 'Times New Roman'">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style="background-color:#ffffff; color:#2e3033; font-family:'Times New Roman'; font-size:12pt">Ni</span><span
 +
                            style="background-color:#ffffff; color:#2e3033; font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2
 +
                            +</span><span style="background-color:#ffffff; color:#2e3033; font-family:'Times New Roman'; font-size:12pt">
 +
                            diffusion equilibrium </span><span style="font-family:'Times New Roman'; font-size:12pt">assumption</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
 +
                            style="background-color:#ffffff; color:#2e3033; font-family:'Times New Roman'; font-size:12pt"> when Ni</span><span
 +
                            style="background-color:#ffffff; color:#2e3033; font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2
 +
                            +</span><span style="background-color:#ffffff; color:#2e3033; font-family:'Times New Roman'; font-size:12pt">
 +
                            are transported into the cell, internal balance of Ni</span><span style="background-color:#ffffff; color:#2e3033; font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span
 +
                            style="background-color:#ffffff; color:#2e3033; font-family:'Times New Roman'; font-size:12pt">
 +
                            concentration will be influenced, which can lead to uneven distribution of Ni</span><span style="background-color:#ffffff; color:#2e3033; font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span
 +
                            style="background-color:#ffffff; color:#2e3033; font-family:'Times New Roman'; font-size:12pt">concentration
 +
                            instantaneously. With a certain amount of time for the free diffusion, the Ni</span><span style="background-color:#ffffff; color:#2e3033; font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+
 +
                        </span><span style="background-color:#ffffff; color:#2e3033; font-family:'Times New Roman'; font-size:12pt">concentration
 +
                            in the cell can be steady. So we assume that Ni</span><span style="background-color:#ffffff; color:#2e3033; font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+
 +
                        </span><span style="background-color:#ffffff; color:#2e3033; font-family:'Times New Roman'; font-size:12pt">transported
 +
                            into the cell will have an uniform distribution instantaneously. And this assumption is completely true
 +
                            in the case of lower transport rate of the transporter protein.</span></p>
 +
                    <h2 style="font-size:15pt; line-height:172%; margin:0pt 0pt 10pt; orphans:0; page-break-after:avoid; page-break-inside:avoid; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:15pt; font-weight:bold">2. Model </span></h2>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">Reference diffusion balance model, establish ODE
 +
                            of Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2 +</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> diffusion model. From the law of mass action,
 +
                            the ODE between Ni and NiE is obtained</span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><img src="data:image/png;base64,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                            style="font-family:'Times New Roman'; font-size:12pt">2</span><span style="font-family:'Times New Roman'; font-size:12pt">)</span></p>
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                    <h1 style="font-size:16pt; line-height:172%; margin:0pt 0pt 10pt; orphans:0; page-break-after:avoid; page-break-inside:avoid; text-align:center; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:16pt; font-weight:bold">Regulation of PncrA Mediated by
 +
                            NcrB</span></h1>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">When the bacteria were in a low-concentration Ni</span><span
 +
                            style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span style="font-family:'Times New Roman'; font-size:12pt">
 +
                            environment, the repressor protein NcrB binds to promoter PncrA, making LuxCDABE downstream of PncrA
 +
                            unable to express. When bacteria are in a high concentration of Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">environment, the intracellular Ni</span><span
 +
                            style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+ </span><span style="font-family:'Times New Roman'; font-size:12pt">concentration
 +
                            accumulates, NcrB binds to Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">, changes the conformational mode of NcrB, which
 +
                            falls off PncrA. The PncrA promoter is transcribed, and the LuxCDABE expression downstream of PncrA
 +
                            promoter emitted fluorescence. In this model, a kinetic model is established, and the functional
 +
                            relationship between Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> concentration and Luminescent Intensity is
 +
                            deduced. </span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:center; text-indent:24pt; widows:0"><img src="https://static.igem.org/mediawiki/2018/0/06/T--HBUT-China--model_1.png"
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                            width="457" height="278" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /><img
 +
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" width="457" height="40" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /></p>
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                    <h2 style="font-size:15pt; line-height:172%; margin:0pt 0pt 10pt; orphans:0; page-break-after:avoid; page-break-inside:avoid; widows:0"><span
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                            style="font-family:'Times New Roman'; font-size:15pt; font-weight:bold">1. Assumption</span></h2>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt 45pt; orphans:0; text-align:justify; text-indent:-21pt; widows:0"><span
 +
                            style="background-color:#ffffff; font-family:Wingdings; font-size:12pt"></span><span style="font:7.0pt 'Times New Roman'">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt; font-weight:bold">Assumption of NcrB</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt 24pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">For NcrB, we make the assumption that there are
 +
                            three forms in the cells within the NCRB, respectively is free NCRB, NCRB - PncrA compounds, as well as
 +
                            the NCRB Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> complexes. And in the process of inhibition of
 +
                            Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> contact NcrB protein, which can be treated as
 +
                            competition between competition between Ni2 + and PncrA . In the process of competition, free NcrB can
 +
                            be regarded as an intermediate transition state. Specifically,  NcrB is detached from the promoter and
 +
                            becomes a free NcrB, which then binds to the Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">to form a NcrB-Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> complex, so the concentration of NcrB in the
 +
                            intermediate state can be seen as a </span><span style="font-family:'Times New Roman'; font-size:12pt">constant.</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt 45pt; orphans:0; text-align:justify; text-indent:-21pt; widows:0"><span
 +
                            style="background-color:#ffffff; font-family:Wingdings; font-size:12pt"></span><span style="font:7.0pt 'Times New Roman'">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt; font-weight:bold">Transcription
 +
                            Assumption</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt 24pt; orphans:0; text-align:justify; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">1)
 +
                            The total transcription rate is mainly determined by the amount of substrate – NcrB dissociates with
 +
                            PncrA and the intensity of PncrA. </span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt 24.1pt; orphans:0; text-align:justify; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">2)
 +
                            The promoter PncrA intensity (in polymerase per second) is a constant that represents the maximum
 +
                            expression rate of transcription.</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt 24.1pt; orphans:0; text-align:justify; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">3)
 +
                            The total transcription rate is the function of the maximum transcription rate and the fraction of the
 +
                            signal molecule bound to its binding site.</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt 24.1pt; orphans:0; text-align:justify; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">4)
 +
                            For constitutive expression of genes - NcrB, we can assume that it is the maximum transcript.</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt 45.1pt; orphans:0; text-align:justify; text-indent:-21pt; widows:0"><span
 +
                            style="font-family:Wingdings; font-size:12pt"></span><span style="font:7.0pt 'Times New Roman'">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt; font-weight:bold">Translation Assumption</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt 24.1pt; text-align:justify"><span style="font-family:'Times New Roman'; font-size:12pt">1)
 +
                            The main factor influencing the translation rate is the rate of riboso</span><span style="font-family:'Times New Roman'; font-size:12pt">mes
 +
                            across the mRNA, which can be approximated by constant rates.</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt 24.1pt; text-align:justify"><span style="font-family:'Times New Roman'; font-size:12pt">2)
 +
                            The translation rate is limited by the amount of available mRNA transcripts that bind with ribosome.</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt 24.1pt; orphans:0; text-align:justify; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">3)
 +
                            The translation rate is a function of the ribosome velocity and the mRNA transcript concentration.</span></p>
 +
                    <h2 style="font-size:15pt; line-height:172%; margin:0pt 0pt 10pt; orphans:0; page-break-after:avoid; page-break-inside:avoid; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:15pt; font-weight:bold">2. Model </span></h2>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">Using the above parameters, we can construct a
 +
                            series of ODE representing our biosensor network.</span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:center; text-indent:24pt; widows:0"><img src="data:image/png;base64,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"
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"
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                            style="font-family:'Times New Roman'; font-size:12pt">           </span><span style="font-family:'Times New Roman'; font-size:12pt"></span><span style="font-family:'Times New Roman'; font-size:12pt">(</span><span style="font-family:'Times New Roman'; font-size:12pt">1</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">.</span><span style="font-family:'Times New Roman'; font-size:12pt">3</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">)</span></p>
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                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:right; text-indent:24pt; widows:0"><a name="MTBlankEqn"><img
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" width="196" height="41" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /></a><span
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                            style="font-family:'Times New Roman'; font-size:12pt">              </span><span style="font-family:'Times New Roman'; font-size:12pt"></span><span style="font-family:'Times New Roman'; font-size:12pt">(</span><span style="font-family:'Times New Roman'; font-size:12pt">1</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">.</span><span style="font-family:'Times New Roman'; font-size:12pt">4</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">)</span></p>
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"
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                            style="font-family:'Times New Roman'; font-size:12pt">                </span><span style="font-family:'Times New Roman'; font-size:12pt"></span><span style="font-family:'Times New Roman'; font-size:12pt">(</span><span style="font-family:'Times New Roman'; font-size:12pt">1</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">.</span><span style="font-family:'Times New Roman'; font-size:12pt">5</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">)</span></p>
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"
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                            style="font-family:'Times New Roman'; font-size:12pt">              </span><span style="font-family:'Times New Roman'; font-size:12pt"></span><span style="font-family:'Times New Roman'; font-size:12pt">(</span><span style="font-family:'Times New Roman'; font-size:12pt">1</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">.</span><span style="font-family:'Times New Roman'; font-size:12pt">6</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">)</span></p>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-indent:24pt; widows:0"><img src="data:image/png;base64,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"
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                            width="54" height="25" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> is mRNA production rate from NcrB DNA, which
 +
                            values 0.0014nM</span><span style="font-family:'Times New Roman'; font-size:12pt">·min</span><span
 +
                            style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">-1</span><span style="font-family:'Times New Roman'; font-size:12pt">(Junhua,
 +
                            2012). </span><img src="data:image/png;base64,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" width="54" height="25" alt=""
 +
                            style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> is translation rate of NcrB mRNA, which values
 +
                            0.0093nM·min</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">-1
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">(Pengfei, 2013).</span></p>
 +
                    <h2 style="font-size:15pt; line-height:172%; margin:0pt 0pt 10pt; orphans:0; page-break-after:avoid; page-break-inside:avoid; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:15pt; font-weight:bold">3</span><span style="font-family:'Times New Roman'; font-size:15pt; font-weight:bold">.
 +
                        </span><span style="font-family:'Times New Roman'; font-size:15pt; font-weight:bold">Model Simplification</span></h2>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">To simplify the calculation, ignore the parts
 +
                            that have little impact, and simplify the process as follows</span></p>
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                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:center; text-indent:24pt; widows:0"><img 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qhJkya1qgq8TwkRYA+shEJhlcIInD171iQMGDBArV271hgvTOYnGS84vco14ZIY8w0BGjDfJOohP/DAB128eFHNmTPHhOETFqUrV64Y94pBgwapoUOHmvDx48ej2Rj3CAEaMI+E6SsrK1asMKxhAh9zXqDVq1ebo/03YsQIBR+xY8eOqXnz5plTo0ePtrMw7BsC8MRvNU2ePLlD4xj70z4+datz5syZ2GvtMpcvX163nDJnOHToUF0ewa8eVnXo+aAO3bA7gJ1eiSszW5nrplccAxxu3LjRYcveLuzWrVsGBzvt+eefN9devnzZTvYuXMb21Cr9Ve2Qpp6I7QCD+ikZKKcYH/2UrVslKCsUecOGDZ2u//zzz805uyGjcaN8lK19iOqWX5YMwAjGSbBJe9ST22Vhoel6gBeRHQqDXAUHyBIYwYjHER5iyAvD5zO1uj0ByzRtqhX62xYDZivTyZMnA4UUxYRxSkuipLgWgowSeiVSLo54KrtGdv0RhuEWQiMWZbLzaTcDyeL0UQ8JjfxWrVoV8CE9DjyQwLMeMgbn7IA8IO0038NFtyfgl7VN2XqZt/623YABEDxBbSaheGlJGm/SNVB8u2wov2sU7YVhWBWlRYsWhfgEzz6Q6Ib9UINxFpnq1chYNmXoiQZdNRLMBKOkthGHS732hGuytqki9bftWo7uvQBtH+0hYBzQkiZP4bjeF/Jg/sMu17XhlT1kAh/gN44wrLb5RDipZxJ3vWtpkCt4TiI0Yhj1qlHR7Ql4ZmlTRetv21ch9+7dq9taZ9q6dWvnxEgKls1PnDhhUrHJXRz17dtXaaGalSkNfKLvUNy1SWk3b95UuPe1a9eSsuSWfvr06VBZCxYsCMUlgldq9JNOot4fIdekdx+nTZtm5Lx48WLvcYgyWHR7wv2ytKmi9bftBuztt982MtDd0pAsZs2aFYrHRbZt22aSdRc57nSQ1r17dzVq1CgDfJDYROCdd95R/fr1U8OHD2+ilHSXrlmzJpRxxowZobgduXTpkh2tZFhcLjZu3Bjwv2fPniDse6AV7QkYpm1Thetvu7vYGgsz9EFXMzpWThoWSp1lMjdpHkTy5X2UOQDUt2iKzmck3S/aVQeuPg8h43CQBR0MHRHGEUNuLARUhcrWnorW37bOgYlPjxgCe3IWgqg1+WjP+dSaC8FkLhpynkZODFjSfFRejQUrjKKQONZaQY2uDCF/lQjuM+A52mCQVpWJ/Fa0J+hU2jbVCv1tq5aLIYDyCUHh7B96FnEEHxPkE+MneeBigJUUGBe7HITzIql30QYsapSSjLCsuNn82q4WefHNcsqNgOhlnu0JHDfaplqhv22dA5PXQR5//HHd9v5PutsvQXPctWtXKC4RuXbhwoWSZI6//fabOWrjEkrXRi0UdyHy7rvvhqr5wAMPhOKInDp1qtPmfnporaZPn94pLxP8RkDaRJ7tCYg12qZaor/teqbYy712HaJLtNEeluSVoQLyx5FdvpZBR56OnfKkK7IHFp3TAr8YKiMdRwyLxckT/Mmv1jAzDiem+YGAre82R3m1J5Rp36Nem2qV/uY3rrJRSxGW+a64BgejJQ0Sx6iRsoWSdCsZYko5AD8vaoUBg4GSuqc5YkED15CqiUDR7QmoZmlTrdLftg0hZbn3xRdf1O0zTB988EEoQb4FKIlp3CekO41rMJzEsm9e1KdPH1NU//798yqyUzkff/xxKE0bTYVfdCiM4aJ+2qnt27cbV5HQRYxUBoGi2xOAzNKmWqa/7XpeaTxMDyNuBTHa/URem8R9Ak+EJJLycUSPKS1hQhzuG0k/rKzI0A1DSPQGk/IiHeU1QjJERv0RtsnmLXrOzsdwdRAQnSiqPQFJuQeO9dpUq/Q3bBlaJO/ocm/cbeFCYQMmc1gQkKTHCQtlwXBIHhzt9+ji7mWnwXfIvrbZMMrLSvYQGfePliHvq0ndwC+puggU3Z6AbJY21Ur9bYsBg/VG47OXe6PqFwVMJvNlHC7x6HWI6+5ryAjF5UlKiy79ipFo9AiHyqwkPk1yz+jcFtwp5ByOjdwja52Yv7wIFN2ewHmWNtVK/W2LAcPQCw0PlroWST5prJiIR28E8VrGz14EQG8lK6Fnh2Fs3A9licc36heXR9KSeoj16iNDZOEb5dmEuJzDkcNIG53qhaWdFNWegGiWNtVK/W25AbOXYuupWrQ3BMMhQCYJyy4fjbuI3SfkiVerF1iPt6Tz9hAZ9YcyxJHMw4kh4zAyDiX/02x9r8dtI+0JZdr3qNemWq2/LTdgstxb6zUhEUS0pyGNFcckkvIlb6OT6EnlI10MGJ58eVN0eJjkUR/lk8PIvCXhRnmiB0W1J6Ag90jTplqtv8mWoCD5yQR0rRVE+9bwExPg5FhLWFI+8hZhYFC3Ig1YdPECq55xFH3ScRgZh5L/aaLvRbUnICj3SNOmWq2/LTdgYoTSzg/JCotch2MtYdn5pFeCl3mThmKNqHiRBsyufz2jFB1GZlltbYRvXlM+BERfimpP4FjugWO9NmXnbYX+ttSAyQpi1p4R8tvAJAkrauwwLyTj93pgZlHNogyY4CO84slXi6Jdexg0UnUQEH0pqj0BySxtSurTSv1tqSf+lClTNG/ZaeXKlcFFuieVuBPnN998E+RDAJ+gv+OOO0zan3/+GTpXxkgUH/H4T6rr+PHjQ6c2bdqkqrR5X4j5Ckai+pIWgrTtCeVlaVPR+rREf4t+XqEXhIk9WT3UmJjeFNwhjul396IuAnH1sed7arlPoHsr5dvHvFfo8uyBJeEj9QdPtXCKDiNxHXpuuKaIBYw4+TCtdQgk6UsR7Qlc1WtTSfVplf4WOoSMeuQKU/YRDS0NyURikvsEypBvCEr56FoX0YjFgMW9iJ6GF8lTa5VVeJAjuudxFB1GSn4caxn7uLKYVm4EWt2egEatNlUG/e2CSmplLz3hIxqffvqpmj17ds26Yn8s/LTxUkOGDKmZlyfLi8DOnTsV9oLDS+oHDhxQx48fL29lHaxZ2vYE1srcppwxYA7qCKvcIAJ4pi5ZskTp11fMV6fwMKIBaxBMzy9r6SS+51iSvZwQ6NKli8In0WRSGMaMRATiEGAPLA4VppUCARgykJ4oVknf/SxFRVmJtiHAHljboOeNayGAeRchGi9BgscoAvltUxotmXEi0AQC8kFUvdJrStErXkp6ZJgjQ1jiTdyGlzqOAHtgjgvQ1+ovW7bMsDZ//nyFX7du3YwDc9euXU04uu24rziQr9oIcA6sNj482wYErl27pnr37m3urJ2YjeGS3pb2e1MTJkxoQ614yzIiwCFkGaVS8TrBBwwkr41hDgyuFEePHk18jazikFWWfRqwyoq+vIwvXbrUVG7ixInmS0v4+hP9wMorr3bWjEPIdqLPe3dCABP0mOeySe8koi5cuGAnZQrj2ps3b/LNjEyouZE5rClu1Jm19BiBw4cPB9zpF4lN+OLFi+r69etBetoAXpfB3NmgQYPU0KFDTZg9ubTouZGPBswNOVWmlvLxVL2zp1qwYIHSu5gY3hvZJmjEiBFK79ah9IYBCuWBRo8ebY788wQB3WUnEYHSIKCbldkSSXbfkJ0/ZLNGbEyZZgcTbMEU/eiKbE9ea0eT0gDBiqRCgD0wTx5EPrBhz3Pdc889hqUZM2aYIzZrxHAQvapRo0bVZRfzaD/99FMo35gxY0y8V69eoXRG3EWABsxd2XlX8yNHjhiexH0CEXtLJKRHjVIWEP766y+TvXt3Lr5nwa3MebkKWWbpsG4GAbxG9Pfff6u+ffs2jAgWAXr27Kn0B17U8OHDGy6HF5YLAfbAyiUP1iYGAQwHbeMl70ViSJn0O3v2bKikYcOGKb3tMo1XCBX3I+yBuS/DSnIAF4kkgs8XfMdg3EDTpk0zx40bN5oj//xBgJMB/siyUpzYPbJajK9YscKcto0XXDL4PmUt1Nw5xx6YO7JiTTMiAOP1yiuvmKHjXXfdZebRsE31gw8+qGyDlrFYZi8RAjRgJRIGq5IfAuvWrVNPP/20GUrCk98mTuTbaLgdpgFzW36sPRGoNAJchay0+Mk8EXAbARowt+XH2hOBSiNAA1Zp8ZN5IuA2AjRgbsuPtScClUaABqzS4ifzRMBtBGjA3JYfa08EKo0ADVilxU/miYDbCNCAuS0/1p4IVBoBGrBKi5/MEwG3EaABc1t+rD0RqDQCNGCVFj+ZJwJuI0AD5rb8WHsiUGkEaMAqLX4yTwTcRoAGzG35sfZEoNII0IBVWvxkngi4jQANmNvyY+2JQKURoAGrtPjJPBFwGwEaMLflx9oTgeoi8G+HogGrrvjJORFwGwFtvbgnvtsidLL2O3fuVLt27VLbt29XBw4cUMePH3eSD1a6/Qjwu5Dtl0GlatDR0aG2bNmi8HmzEydOqJEjR1aKfzKbLwIcQuaLJ0urgwC+lr148WI1ZcoUk3PJkiV1ruBpIpCMAIeQydjwTIEIwJCBzp8/rwYOHFjgnVi0zwiwB+azdEvK26lTp4Ka0XgFUDDQAAKcA2sANF7SHAJr1qwxBTz//PPmePv2bSU9MsyRISzx5u7Eq31HgD0w3yVcQv6WLVtmajV//nyFX7du3VTXrl3ND+EPPvighLVmlcqIAOfAyigVj+t07do11bt3b8PhrVu3jNGS3tbu3bvVhAkTPOaerOWNAIeQeSPK8moiAB8w0OTJk43xwhwYXCmOHj1q4jUv5kkiEEGABiwCCKPFIrB06VJzg4kTJ6pRo0ap/v3705G1WMi9Lp1DSK/FWy7mMEGPuS6bBgwYoC5cuGAnBeErV66omzdv0s0iQISBKAJhbYqeZZwI5IjA4cOHg9KWL19uwhcvXlTXr18P0hGA0cK8WL9+/dSgQYNMGHNnJCIQRaAtBuyXX34JlsplyTzuiPmRcePGqWeeeUZ9/fXXCk9w1wjv+cXxlpQGnjG0grd6Us/ENQykvqtXrzbBefPmqQULFqixY8ea+J49eySLOQ4ZMkStWrVK/fPPPwp5QYhXgYpsG17qojYKbaFDhw51aAWGRcr027FjR1vq2+hNtY9Tx7FjxzoWLVqUiU/BZebMmR0owwcSniB7kDZKBpOpU6eauB5OGqz0aqSJ4w+84zrdYwvSfA8U1TZ81EX0atpKotRy3LBhQ1Cfq1evdqAByzk52goeZHYgEDVi4O3GjRshAwVjp1flOvHsAHs1q6hfGQp40u4TJu+ZM2eCNMgWD7QoAR+cw/VVI9F3OebZNnzRxbYbsGgvTA8bOulpFGwI1EVCT0OUEUfpicTxEsUFGLhMeOiAZ+0+EWJD8IimI9Ply5cDYx66qCKRqA7k2TZ80cW2rkJqPQytSumeR+ySuu76Gm9trewB6Z6KmSsKEhwIYH4Lk9ZC4sgpcfuIFThMYtsEHDB35hOBp7///lv17ds3xBYm9ocNGxbgBb8x7B9WFSq6bfiii22ZxBclPH36tATNERO7cYSld/00ijvVVBpWu2AoWrHChXvYxgv8RF0KbGb69OljR00YSu0bAYOo8QKPPXr0MIsYehrBsPztt98qGLuqUJFtwyddbKsBk5d6RSlnzJghwU7HS5cudUprNuGdd94xvZzhw4c3W1Td67GKatPChQvtKMMJCPTq1Uvt27cv4ay/yUW2DZ90sa0GTF7qFTXE8nkcoeeB3TvzJnknb8SIEXkX3am8N998M5T2xBNPhOLRyLlz56JJlY1LD8234XMtgRbZNnzSxbYZsGg3VrZWiRPq1q1bOyXDVyovKqJ3Z9cNQx8MgYTgfS6NUtKix2gPTd4djObzMY4dKqSXAOxGjx6t4PhaFQNWZNvwThd176YtpPdFD63I6WFCbD2w8qIbaehnLyfHXpQyUfyQ9OJByisay4bVRpsH7ZxZs6CoewGuhXtFFUg3sBBW4P3zzz+vAusBj0W2Dd90sW3+CNFlXPENCqSoAydPnuykzHHL7fY1WcKtMmAwWLYBq2WM4gx2PYOXhWdX8gKHOLcBV+rfTD2LbBu+6WJbDFj0KQsPbBgwpOOIBh4VIgyAHmY2oxedrm2VAbONF8Jxxhq8R5+8RfDcCQQmlAqBotuGb7rYlu10ohPycC/ATpxJhPmfTz75xDm/L/AT9z4jeNVe+AquElgBxbuAmzZt6sQ+Pj/22GOPdUpngr8IFNk2fNTFthgwfBPQJt0TMlFsdvfZZ58Fp2C4tm3bVtjkrfhaYU+qokjP14WKhrMuFg1sPu0MuudpXuTmzqQ2KtUJF9k2fNTFtnji217A0f2g7JWm6LksagxPbnGCjLuuZ8+e6qmnnjI9HxiV/fv3m21c4vIiDS4XcK7MSthNw/ZjQp3g26THLerff/81P5R55513NlR+1vowf7kRKLJteKmLrZ4AwPttWoWCX/Qdv+jL242+xBv3/qR936zhaD3T4CYvIsu9MNdHIgJJCBTZNnzVxZb7gW3evFm35//o2Wef/S+iQ6+++moo/tFHH4XiaSMPP/xw2qyp8t11112p8tmZ9u7da0fV3LlzQ3FGiICNQJFtw1tdTHoaFJUONwgttOCHVReb4lZh7PNZwrKyiTKjP5SDPaZQFz2E7HTezh+3apimHtHeJFZXSUQgCYEi24avutjSHpg2CiGPdEzS23NeeBohjolsIaxQxq2eyPlaR7wojPLifrhOXiXCJH5cHkmr9dJ1rftHJ+ox10YiAnEIFN02fNXFlhqwgwcPhmSHV0biCNsp29ToMNIuo1a4iFeJzp49G7oljDIMIokIxCFQZNvwWRdbasDgy2VTko/T+PHj7Wwq+mJr6GRJI+vWrQvV7KWXXgrFGSECNgJFtg2vdTFpPF5EuhZYMPdVb0Uu6omP9wPzpiI98cGfzS9WgUhEIAkBW1fybhs+62LLemD42opN9baTiQ4jn3vuOfvyUofRZbc3L9QKpLp3b4vPcKlxYuX+j0CRbcN3XWyZAZsyZUpIX8ULPpRoRaLDSLxqE/38lpW9VMEnn3wyVJ8iPf1DN2LESQSKbBve62JSlzaPdDihYpuc6McJtJaZ4RXcGOBaAJeFOIoOI3EdloNxTR47FeQ5hIQTIrYqiS6FC6/YBSCvesdhxTS3ECiybejNMCuji4XtRgGjJI233jHp6zzyJZu46/PYI0oMWLO7XGThtRGPfreaJmtbD4Es+tJI24hrL3FpPuhiW96F1GCSiAARIAJNI9CyObCma+poAficu2yP7CgLTVUbTshYxofPH15Uxo4jJCKQFwI0YHkhmVDOF198oR5//PGEs/4nHzlyRP3www/qrbfeMiuzSR9u8R8JclgEAjRgRaBqlYnXleBGUVXCvmavv/56wP6YMWOCMANEoFkEaMCaRZDX10Vg/fr1Jg9fp6oLFTNkRIAGLCNgzJ4dAemB8XWq7NjxitoI0D28Nj482yQC2mUg2JF20qRJZidau0jtcqAa3e3DLofhaiLAHlg15d4yrmWXBWwlpJ2PjbGCwZIfPnACI0ciAo0gQAPWCGq8JjUCK1euNHlnz55t3Ci0c7KJ6zcqjEFjDyw1lMwYgwCHkDGgMCk/BD788ENT2KxZs8yHUyZOnKh27NihMJwkEYFmEWAPrFkEeX0iArKRHtxI1q5dq/Q7sWY+rFHjhaEmyrxy5UriPXmiWgjQgFVL3i3lVjbSw9ZCc+bMMffG5+4aIXz2DvNlQ4cOVf369VPPPPNMI8XwGs8QoAHzTKBlYmfFihWmOpjAx5wXaPXq1eaY5Q9GD703vZuH0rs4KJSHPd5PnTqVpRjm9RABGjAPhVoGlmB0Tpw4Yary66+/qvfee8+EZU4sSx0xdIThGjVqlFkI2LVrl7kcHwYmVRsBGrAc5Z9lbsZ31wHZfBK9JexGO3jw4ADpa9euKexCipe70xC+ZG7nRU8MBINGqjYCNGA5yh9zM/jykDTeuKLReKdNm2bmc3w2Ym+88YZhf8GCBeYIXPAZPdD999+v7rvvPvXjjz+aeJY/zIXho8V6g8gslzGvrwjU23yN59MjgB1XtZ6YH3ahBX388ccduhdiwtiEUc43u4miKbDEf/IhCftjLPYGldipNythAz7BD8cNGzZkLYL5PUOgsB1ZPcMpNTvYKlgamTRixO0vI/uwE2ZqQCIZsfW2/aVz+Tq6YBZ31D3VUCnajyz0kAidZKRSCHBHVt1i8ib4KmG5P44w9HnzzTfjTlUy7ebNmwrD6iS68847VY8ePTqdxjD8wIEDChtGkqqLAD3xC5A9Nu3Te5mbeR67eMwB0XjZiCgzwd+3b99wYorY8OHD1e+//54iJ7P4jAAn8QuS7r333qv0/Feo9O3bt4fijKRDAD3aF154IfD7Qq8L7hjbtm1LVwBzeYsAh5AFixZL/fCHgh+T7QpQ8G29Kh776GPl0Sa9OKC4PbWNSDXDNGAFyx2uEpcuXaLxahJn4Hjjxg3jfsKvnDcJpkeX04B5JEyyQgSqhgDnwKomcfJLBDxCgAbMI2GSFSJQNQRowKomcfJLBDxCgAbMI2GSFSJQNQToyFqgxGV3CnvVDJ7nSd7l8EjH+Wj+Pn36mJfEC6wqiyYCTiLAHlhBYtMvpJldJ7BDBb7OLb8RI0aor776Kvauc+fONbuNSl4ccf25c+di8zORCFQdAbpRFKwB8BofPXq0uUuaj1lgl9G7777b5Ne7Lajp06cXXEMWTwTcRYA9sIJl98UXXwR3SPMxi59//jnIjxeWSUSACCQjQAOWjE0uZ95//31TTtoN+JYuXWryT506lfNeuUiAhfiMAIeQBUoX+8L37NnT3AG7U+AF71qE12Xw5R1QmuFmrbJ4jghUAQH2wAqU8nfffReUfs899wThpAA+fiE0YcIECfJIBIhAAgI0YAnA5JH87rvvmmKwD1jXrvWhlk+O4UMYcZv45VEnlkEEfEKAQ8iCpAk3CjFaaVcT8eEL0KpVq9Ts2bMLqhmLJQL+IEADVpAsbfeJq1evKnwarBbB6RU+XyDudVULKZ4jAv8hUH9c819ehjIgILux6g971DVeKHbz5s1B6dyoL4CCASJQEwEasJrwNH5SvkQN7/o4witD2CZZ6PXXXzdB/fUiSeKRCBCBOgjQgNUBqJHTeKfx4sWL5tJnn302tohHH300SIf7hP5Ooom//PLLQToDRIAI1EaAL3PXxqehs+vWrQuuw574UcL5b7/9Vn355Zfm1Pfffx9keeihh4IwA0SACNRGgJP4tfHJfBa9L7yELaS/Rq0GDx5sovv371evvfZa0NvCSiWcXYcNGxb02PSHX1UjnxmT+/FIBKqEAA1YjtJ+5JFHTM8qTZH6i9Rq48aNsfnpRpEGQeYhAkrRgFELiAARcBYBTuI7KzpWnAgQARow6gARIALOIkAD5qzoWHEiQARowKgDRIAIOIsADZizomPFiQARoAGjDhABIuAsAjRgzoqOFScCRIAGjDpABIiAswjQgDkrOlacCBABGjDqABEgAs4iQAPmrOhYcSJABGjAqANEgAg4iwANmLOiY8WJABGgAaMOEAEi4CwCNGDOio4VJwJEgAaMOkAEiICzCPwPNAViFz8wmxMAAAAASUVORK5CYII="
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                            width="121" height="78" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /></p>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt; font-style:italic">k</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">2</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> is the reaction rate constant for the binding of
 +
                            Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> and NcrB, the value of </span><span style="font-family:'Times New Roman'; font-size:12pt; font-style:italic">k</span><span
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                            style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">2</span><span style="font-family:'Times New Roman'; font-size:12pt">
 +
                            is 8nM (Xinming Yang. 2013).</span></p>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">It can be seen from the assumption that R is the
 +
                            intermediate constant value during the change process, and R</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">0
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">is the total amount of intracellular
 +
                            NcrB, which is a function of copy number B of plasmid</span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><a name="_Hlk527132974"><img
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" width="123" height="48" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /></a><span
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                            style="width:182.5pt; text-indent:0pt; display:inline-block; -aw-tabstop-align:center; -aw-tabstop-pos:208pt"></span><span
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                            style="font-family:'Times New Roman'; font-size:12pt"> </span><span style="width:98.16pt; text-indent:0pt; display:inline-block; -aw-tabstop-align:right; -aw-tabstop-pos:415pt"></span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">  </span><span style="font-family:'Times New Roman'; font-size:12pt">(</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">1</span><span style="font-family:'Times New Roman'; font-size:12pt">.</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">7</span><span style="font-family:'Times New Roman'; font-size:12pt">)</span></p>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">Intracellular
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                            PncrA has two states, that is, binding to NcrB and free</span></p>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><img
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                            src="data:image/png;base64,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" width="77" height="18" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /><span
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                            style="width:182.5pt; text-indent:0pt; display:inline-block; -aw-tabstop-align:center; -aw-tabstop-pos:208pt"></span><span
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                            style="font-family:'Times New Roman'; font-size:12pt"> </span><span style="width:98.16pt; text-indent:0pt; display:inline-block; -aw-tabstop-align:right; -aw-tabstop-pos:415pt"></span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">  </span><span style="font-family:'Times New Roman'; font-size:12pt">(</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">1</span><span style="font-family:'Times New Roman'; font-size:12pt">.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">8</span><span style="font-family:'Times New Roman'; font-size:12pt">)</span></p>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">The
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                            binding process of Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt"> and R can be regarded as steady state
 +
                            equilibrium, </span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><img
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                            style="font-family:'Times New Roman'; font-size:12pt">  </span><span style="font-family:'Times New Roman'; font-size:12pt">(</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">9</span><span style="font-family:'Times New Roman'; font-size:12pt">)</span></p>
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"
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                            width="183" height="46" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /><span
 +
                            style="width:182.5pt; text-indent:0pt; display:inline-block; -aw-tabstop-align:center; -aw-tabstop-pos:208pt"></span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> </span><span style="width:98.16pt; text-indent:0pt; display:inline-block; -aw-tabstop-align:right; -aw-tabstop-pos:415pt"></span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">  </span><span style="font-family:'Times New Roman'; font-size:12pt">(</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">1</span><span style="font-family:'Times New Roman'; font-size:12pt">.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">10</span><span style="font-family:'Times New Roman'; font-size:12pt">)</span></p>
 +
                    <h1 style="font-size:16pt; line-height:172%; margin:0pt 0pt 10pt; orphans:0; page-break-after:avoid; page-break-inside:avoid; text-align:center; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:16pt; font-weight:bold">Luminescence Process of
 +
                            LuxCDABE</span></h1>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">When Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> is combined with NcrB, it can make promoter
 +
                            PncrA transcription, and then LuxCDABE expression and luminescence in the downstream. Luminescent
 +
                            intensity is related to the amount of LuxCDABE expression, and the amount of LuxCDABE expression is
 +
                            related to the amount of promoter PncrA transcription.</span></p>
 +
                    <h2 style="font-size:15pt; line-height:172%; margin:0pt 0pt 10pt; orphans:0; page-break-after:avoid; page-break-inside:avoid; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:15pt; font-weight:bold">1. Assumption</span></h2>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt 45.1pt; orphans:0; text-align:justify; text-indent:-21pt; widows:0"><span
 +
                            style="font-family:Wingdings; font-size:12pt"></span><span style="font:7.0pt 'Times New Roman'">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">All of the detected promoter PncrA were
 +
                            produced by the unbinding of NcrB</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt 45.1pt; orphans:0; text-align:justify; text-indent:-21pt; widows:0"><span
 +
                            style="font-family:Wingdings; font-size:12pt"></span><span style="font:7.0pt 'Times New Roman'">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">The luminescent intensity is positively
 +
                            correlated with the promoter concentration</span></p>
 +
                    <h2 style="font-size:15pt; line-height:172%; margin:0pt 0pt 10pt; orphans:0; page-break-after:avoid; page-break-inside:avoid; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:15pt; font-weight:bold">2. Model </span></h2>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:12pt; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">The
 +
                            luminescent intensity can be modelled as below:</span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:center; widows:0"><img src="data:image/png;base64,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"
 +
                            width="61" height="22" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /><span
 +
                            style="width:206.5pt; text-indent:0pt; display:inline-block; -aw-tabstop-align:center; -aw-tabstop-pos:208pt"></span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> </span><span style="width:98.16pt; text-indent:0pt; display:inline-block; -aw-tabstop-align:right; -aw-tabstop-pos:415pt"></span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">  </span><span style="font-family:'Times New Roman'; font-size:12pt">(</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">1</span><span style="font-family:'Times New Roman'; font-size:12pt">.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">11</span><span style="font-family:'Times New Roman'; font-size:12pt">)</span></p>
 +
                    <h1 style="font-size:16pt; line-height:172%; margin:0pt 0pt 10pt; orphans:0; page-break-after:avoid; page-break-inside:avoid; text-align:center; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:16pt; font-weight:bold">Relationship between LI and t</span></h1>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">The purpose of modeling is to obtain the
 +
                            relationship between Luminescent Intensity </span><span style="font-family:'Times New Roman'; font-size:12pt; font-style:italic">LI
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">and Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> concentration in vitro, solve (1.1)~(1.10), and
 +
                            substitute (1.11) to get the analytical solution of LI</span><span style="font-family:'Times New Roman'; font-size:12pt">.</span></p>
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                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><img 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"
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                            width="413" height="46" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /><span
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                            style="width:182.5pt; text-indent:0pt; display:inline-block; -aw-tabstop-align:center; -aw-tabstop-pos:208pt"></span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">  </span><span style="font-family:'Times New Roman'; font-size:12pt">(</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">1</span><span style="font-family:'Times New Roman'; font-size:12pt">.</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">12</span><span style="font-family:'Times New Roman'; font-size:12pt">)</span></p>
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                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:right; text-indent:24pt; widows:0"><img 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"
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                            width="327" height="96" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /><span
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                            style="font-family:'Times New Roman'; font-size:12pt">           </span><span style="font-family:'Times New Roman'; font-size:12pt">                  </span><span style="font-family:'Times New Roman'; font-size:12pt">(</span><span style="font-family:'Times New Roman'; font-size:12pt">1</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">.</span><span style="font-family:'Times New Roman'; font-size:12pt">13</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">)</span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">to
 +
                            simplify the formula, we discuss it further</span></p>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">LI can't go up indefinitely, or Ni</span><span
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                            style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+ </span><span style="font-family:'Times New Roman'; font-size:12pt">can't
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                            go up indefinitely, so r</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">1</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">, r</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">2</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt"> &lt;0</span><span style="font-family:宋体; font-size:12pt">,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">γ&gt;0. When the </span><img 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"
 +
                            width="45" height="17" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">,</span></p>
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                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><img 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"
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                            style="font-family:'Times New Roman'; font-size:12pt">  </span><span style="font-family:'Times New Roman'; font-size:12pt">(</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">1</span><span style="font-family:'Times New Roman'; font-size:12pt">.</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">14</span><span style="font-family:'Times New Roman'; font-size:12pt">)</span></p>
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"
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" width="430" height="55" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">It
 +
                            can be seen that when the external Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> in vitro is a constant value, the final LI will
 +
                            tend to be a constant value</span></p>
 +
                    <h1 style="font-size:16pt; line-height:172%; margin:0pt 0pt 10pt; orphans:0; page-break-after:avoid; page-break-inside:avoid; text-align:center; widows:0"><a
 +
                            name="_Hlk527500952"><span style="font-family:'Times New Roman'; font-size:16pt; font-weight:bold">&#xa0;</span><span
 +
                                style="font-family:'Times New Roman'; font-size:16pt; font-weight:bold">Relationship between Ni</span><span
 +
                                style="font-family:'Times New Roman'; font-size:10.67pt; font-weight:bold; vertical-align:super">2+</span><span
 +
                                style="font-family:'Times New Roman'; font-size:16pt; font-weight:bold"> in vitro</span><span style="font-family:'Times New Roman'; font-size:10.67pt; font-weight:bold; vertical-align:super">
 +
                            </span><span style="font-family:'Times New Roman'; font-size:16pt; font-weight:bold">and LI</span><span
 +
                                style="font-family:'Times New Roman'; font-size:10.67pt; font-weight:bold; vertical-align:sub">max</span></a></h1>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
 +
                            style="background-color:#ffffff; font-family:'Times New Roman'; font-size:12pt">From the </span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">derivation</span><span style="font-family:'Times New Roman'; font-size:12pt">,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> the relationship between lg(Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">envior</span><span
 +
                            style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">.</span><span style="font-family:'Times New Roman'; font-size:12pt">)
 +
                            in vitro and LI</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">max</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> is linear.</span><span style="background-color:#ffffff; color:#2e3033; font-family:Arial; font-size:9pt">
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">However, according to the experimental
 +
                            data, LI</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">max</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> shows a downward trend after reaching a certain
 +
                            concentration, and tends to 0 as the concentration increases. Therefore, we suspect that this is
 +
                            related to the cytotoxicity of Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> and related experiments have been conducted.
 +
                            Through the experimental results, the modified model of LI </span><span style="font-family:'Times New Roman'; font-size:12pt">a</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">nd lg(Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">envior</span><span
 +
                            style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">.</span><span style="font-family:'Times New Roman'; font-size:12pt">)
 +
                            is established, and the original model was modified with this model. Compared with the experimental
 +
                            results, the model is in good agreement.</span></p>
 +
                    <h2 style="font-size:15pt; line-height:172%; margin:0pt 0pt 10pt; orphans:0; page-break-after:avoid; page-break-inside:avoid; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:15pt; font-weight:bold">1</span><span style="font-family:'Times New Roman'; font-size:15pt; font-weight:bold">.
 +
                            The linear correlation between LI </span><span style="font-family:'Times New Roman'; font-size:15pt; font-weight:bold">a</span><span
 +
                            style="font-family:'Times New Roman'; font-size:15pt; font-weight:bold">nd lg(Ni</span><span style="font-family:'Times New Roman'; font-size:10pt; font-weight:bold; vertical-align:sub">envior</span><span
 +
                            style="font-family:'Times New Roman'; font-size:10pt; font-weight:bold; vertical-align:sub">.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:15pt; font-weight:bold">)</span></h2>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">When the external Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> in vitro is a constant value, the final LI will
 +
                            tend to be a constant value. On this basis, we discuss how Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">envior</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> is positively correlated with LI</span><span
 +
                            style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">max</span><span style="font-family:'Times New Roman'; font-size:12pt">.</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">W</span><span style="font-family:'Times New Roman'; font-size:12pt">hen
 +
                            t→</span><span style="font-family:'Cambria Math'; font-size:12pt">∞</span></p>
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                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><center><img 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"
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                            width="271" height="50" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /></center><span
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                            style="width:182.5pt; text-indent:0pt; display:inline-block; -aw-tabstop-align:center; -aw-tabstop-pos:208pt"></span><span
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                            style="font-family:'Times New Roman'; font-size:12pt"> </span><span style="width:98.16pt; text-indent:0pt; display:inline-block; -aw-tabstop-align:right; -aw-tabstop-pos:415pt"></span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">  </span><span style="font-family:'Times New Roman'; font-size:12pt">(</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">1</span><span style="font-family:'Times New Roman'; font-size:12pt">.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">15</span><span style="font-family:'Times New Roman'; font-size:12pt">)</span></p>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">while
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                        </span></p>
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                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:right; text-indent:24pt; widows:0"><center><img 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"
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                            width="319" height="46" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" />
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                            </center><span style="font-family:'Times New Roman'; font-size:12pt">(</span><span style="font-family:'Times New Roman'; font-size:12pt">1</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">.</span><span style="font-family:'Times New Roman'; font-size:12pt">16</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">)</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">according
 +
                            to mode</span><span style="font-family:宋体; font-size:12pt">,</span><span style="font-family:'Times New Roman'; font-size:12pt">the
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                            relation between LI</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">max</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> and </span><span style="font-family:'Times New Roman'; font-size:12pt; font-style:italic">Ni</span><span
 +
                            style="font-family:'Times New Roman'; font-size:8pt; font-style:italic; vertical-align:sub">envior.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> is </span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">positive correlation.</span></p>
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                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:center; text-indent:12pt; widows:0"><img 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                            <p></p>
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                            <center>
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                            <img
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" width="439" height="29" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /></p>
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                        </center><p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
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                            style="font-family:'Times New Roman'; font-size:12pt">We analyze the experimental data and find, within
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                            a certain range of </span><span style="font-family:'Times New Roman'; font-size:12pt; font-style:italic">Ni</span><span
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                            style="font-family:'Times New Roman'; font-size:8pt; font-style:italic; vertical-align:sub">envior</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt"> , concentration LI</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">max</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt"> and lg(</span><span style="font-family:'Times New Roman'; font-size:12pt; font-style:italic">Ni</span><span
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                            style="font-family:'Times New Roman'; font-size:8pt; font-style:italic; vertical-align:sub">envior</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">) are</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">linear correlation.</span></p>
 +
                    <h2 style="font-size:15pt; line-height:172%; margin:0pt 0pt 10pt; orphans:0; page-break-after:avoid; page-break-inside:avoid; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:15pt; font-weight:bold"> 2. Model Verification By
 +
                            Experiment</span></h2>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">We
 +
                            make a line graph of experimental data as figure 4</span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><img src="https://static.igem.org/mediawiki/2018/5/50/T--HBUT-China--model_2.png"
 +
                            width="554" height="263" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /><img
 +
                            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" width="554" height="26" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">We
 +
                            find that LI</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">max</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> and lg(</span><span style="font-family:'Times New Roman'; font-size:12pt; font-style:italic">Ni</span><span
 +
                            style="font-family:'Times New Roman'; font-size:8pt; font-style:italic; vertical-align:sub">envior</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">) tend to be a linear function with a positive
 +
                            correlation when lg(</span><span style="font-family:'Times New Roman'; font-size:12pt; font-style:italic">Ni</span><span
 +
                            style="font-family:'Times New Roman'; font-size:8pt; font-style:italic; vertical-align:sub">envior</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">) is in the range of (-</span><span style="font-family:'Cambria Math'; font-size:12pt">∞</span><span
 +
                            style="font-family:宋体; font-size:12pt">,</span><span style="font-family:'Times New Roman'; font-size:12pt">-</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">3]. However, after the value of lg(</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt; font-style:italic">Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; font-style:italic; vertical-align:sub">envior</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">) is greater than -3, the value of LI</span><span
 +
                            style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">max</span><span style="font-family:'Times New Roman'; font-size:12pt">
 +
                            decreases significantly. Considering the influence of high concentration of nickel ions on
 +
                            cytotoxicity, the cytotoxicity of nickel ions is analyzed.</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt; orphans:0; text-align:justify; widows:0"><span style="font-family:'Times New Roman'; font-size:15pt; font-weight:bold">3.
 +
                        </span><a name="_Hlk527413694"></a><a name="_Hlk494216818"><span style="font-family:'Times New Roman'; font-size:15pt; font-weight:bold">The
 +
                                Cytotoxicity of Nickel Ions</span><span style="-aw-bookmark-end:_Hlk527413694"></span></a></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span style="-aw-bookmark-end:_Hlk494216818"></span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">Using the Logistic equation to fit the data</span></p>
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                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:right; text-indent:24pt; widows:0"><img 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"
 +
                            width="206" height="43" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">                       </span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">W</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">e can get the following results:</span></p>
 +
                    <p style="margin:0pt 0pt 10pt 24pt; orphans:0; text-align:justify; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">Coefficients
 +
                            (with 95% confidence bounds):</span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">      
 +
                            a = 1.086  (1.027, 1.146)</span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">      
 +
                            b = 0.2424  (-0.4756, 0.9605)</span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">      
 +
                            c =7.07  (1.872, 12.27)</span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">Goodness
 +
                            of fit:</span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt"> 
 +
                            SSE: 0.005441</span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt"> 
 +
                            R-square: 0.9971</span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt"> 
 +
                            Adjusted R-square: 0.9957</span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt"> 
 +
                            RMSE: 0.03688</span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">We
 +
                            can find that the adjusted R-square is close to 1, indicating the regression equation for fitting data
 +
                            is very appropriate. The figure of regression is as follows: </span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:center; text-indent:24pt; widows:0"><img src="https://static.igem.org/mediawiki/2018/a/a4/T--HBUT-China--model_3.png"
 +
                            width="554" height="245" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; page-break-after:avoid; text-align:center; text-indent:20pt; widows:0"><span
 +
                            style="font-family:Cambria; font-size:10pt">Figure 5 </span><span style="font-family:Cambria; font-size:10pt">The
 +
                            Cytotoxicity of Nickel Ions</span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">Based
 +
                            on the previous data and graphic,</span><span style="font-family:'Times New Roman'; font-size:12pt">
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">toxicity function can be established as</span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><img 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"
 +
                            width="359" height="48" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /><span
 +
                            style="width:182.5pt; text-indent:0pt; display:inline-block; -aw-tabstop-align:center; -aw-tabstop-pos:208pt"></span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> </span><span style="width:98.16pt; text-indent:0pt; display:inline-block; -aw-tabstop-align:right; -aw-tabstop-pos:415pt"></span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">  </span><span style="font-family:'Times New Roman'; font-size:12pt">(</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">1</span><span style="font-family:'Times New Roman'; font-size:12pt">.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">17</span><span style="font-family:'Times New Roman'; font-size:12pt">)</span></p>
 +
                    <h2 style="font-size:15pt; line-height:172%; margin:0pt 0pt 10pt; orphans:0; page-break-after:avoid; page-break-inside:avoid; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:15pt; font-weight:bold">4. Modifying the Model</span></h2>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">According
 +
                            to the above part, the model is modified as follows:</span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">Considering
 +
                            cytotoxicity, the model is modified. LI</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">max</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> is modified to be </span><img src="data:image/png;base64,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"
 +
                            width="56" height="25" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">. </span><span style="font-family:'Times New Roman'; font-size:12pt">W</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">ith the </span><span style="font-family:'Times New Roman'; font-size:12pt">M</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">atlab, we get the revised relationship between LI
 +
                            and lg(Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">envior.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">)</span></p>
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                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:center; text-indent:24pt; widows:0"><img 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"
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                            width="254" height="25" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /></p>
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                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">Compare
 +
                            the revised model with the data. </span></p>
 +
                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:center; widows:0"><img src="https://static.igem.org/mediawiki/2018/3/3f/T--HBUT-China--model_4.png"
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                            width="554" height="263" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /></p>
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                    <p style="margin:0pt 0pt 10pt; orphans:0; text-align:justify; widows:0"><img 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"
 +
                            width="554" height="40" alt="" style="-aw-left-pos:0pt; -aw-rel-hpos:column; -aw-rel-vpos:paragraph; -aw-top-pos:0pt; -aw-wrap-type:inline" /></p>
 +
                    <p style="font-size:12pt; line-height:115%; margin:0pt 0pt 10pt; orphans:0; text-align:justify; text-indent:24pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">According to the modified model, the relationship
 +
                            between LI</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:sub">max</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> and lg(</span><span style="font-family:'Times New Roman'; font-size:12pt; font-style:italic">Ni</span><span
 +
                            style="font-family:'Times New Roman'; font-size:8pt; font-style:italic; vertical-align:sub">envior</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">) is predicted, as shown in figure 6. In the
 +
                            figure, the red dots represent the measurement data of the real experiment. It can be seen that our
 +
                            model has a good agreement with the experiment.</span></p>
 +
                    <p style="margin:0pt 0pt 10pt"><br style="page-break-before:always; clear:both" /></p>
 +
                    <h1 style="font-size:16pt; line-height:172%; margin:0pt 0pt 10pt; orphans:0; page-break-after:avoid; page-break-inside:avoid; text-align:center; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:16pt; font-weight:bold">References</span></h1>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt 21pt; orphans:0; text-align:justify; text-indent:-21pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">[1]</span><span style="font:7.0pt 'Times New Roman'">&#xa0;&#xa0;&#xa0;&#xa0;
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">Schinkel, A. H., &amp; Jonker, J. W.
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                            (2012). Mammalian drug efflux transporters of the ATP binding cassette (ABC) family: an overview.
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                            Advanced drug delivery reviews, 64, 138-153.</span></p>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt 21pt; orphans:0; text-align:justify; text-indent:-21pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">[2]</span><span style="font:7.0pt 'Times New Roman'">&#xa0;&#xa0;&#xa0;&#xa0;
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">Proshkin, S. et al: Cooperation Between
 +
                            Translating Ribosomes And RNA Polymerase In Transcription Elongation. Science 328.5977 (2010): 504-508.
 +
                            Web.</span></p>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt 21pt; orphans:0; text-align:justify; text-indent:-21pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">[3]</span><span style="font:7.0pt 'Times New Roman'">&#xa0;&#xa0;&#xa0;&#xa0;
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">Young, R and H Bremer:
 +
                            Polypeptide-Chain-Elongation Rate In Escherichia Coli B/R As A Function Of Growth Rate. Biochem. J.
 +
                            160.2 (1976): 185-194. Web.</span></p>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt 21pt; orphans:0; text-align:justify; text-indent:-21pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">[4]</span><span style="font:7.0pt 'Times New Roman'">&#xa0;&#xa0;&#xa0;&#xa0;
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">Patricia A: </span><span style="font-family:'Times New Roman'; font-size:12pt">Mathematical
 +
                            model of the Lux luminescence system in the terrestrial bacterium Photorhabdus luminescens. Molecular
 +
                            BioSystems. 10.1039(2009):68-76</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt 21pt; orphans:0; text-align:justify; text-indent:-21pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">[5]</span><span style="font:7.0pt 'Times New Roman'">&#xa0;&#xa0;&#xa0;&#xa0;
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">Englert, Derek L: Repellent Taxis in
 +
                            Response to Nickel Ion Requires neither Ni</span><span style="font-family:'Times New Roman'; font-size:8pt; vertical-align:super">2+</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">Transport nor the Periplasmic NikA Binding
 +
                            Protein. </span><span style="font-family:'Times New Roman'; font-size:12pt">Journal of Bacteriology</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> 192.10(2010): 17</span></p>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt 21pt; orphans:0; text-align:justify; text-indent:-21pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">[6]</span><span style="font:7.0pt 'Times New Roman'">&#xa0;&#xa0;&#xa0;&#xa0;
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">Oloo, E. O., &amp; Tieleman, D. P.
 +
                            (2004). Conformational transitions induced by the binding of MgATP to the vitamin B12 ATP-binding
 +
                            cassette (ABC) transporter BtuCD. Journal of Biological Chemistry, 279(43), 45013-45019.</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt 21pt; orphans:0; text-align:justify; text-indent:-21pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">[7]</span><span style="font:7.0pt 'Times New Roman'">&#xa0;&#xa0;&#xa0;&#xa0;
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">Rowe, J. L., Starnes, G. L., &amp;
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                            Chivers, P. T. (2005). Complex transcriptional control links NikABCDE-dependent nickel transport with
 +
                            hydrogenase expression in Escherichia coli. Journal of bacteriology, 187(18), 6317-6323.</span></p>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt 21pt; orphans:0; text-align:justify; text-indent:-21pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">[8]</span><span style="font:7.0pt 'Times New Roman'">&#xa0;&#xa0;&#xa0;&#xa0;
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">Heddle, J., Scott, D. J., Unzai, S.,
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                            Park, S. Y., &amp; Tame, J. R. (2003). Crystal structures of the liganded and unliganded nickel-binding
 +
                            protein NikA from Escherichia coli. Journal of Biological Chemistry, 278(50), 50322-50329.</span></p>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt 21pt; orphans:0; text-align:justify; text-indent:-21pt; widows:0"><span
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                            style="font-family:'Times New Roman'; font-size:12pt">[9]</span><span style="font:7.0pt 'Times New Roman'">&#xa0;&#xa0;&#xa0;&#xa0;
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">Marchetti, S., de Vries, N. A., Buckle,
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                            T., Bolijn, M. J., van Eijndhoven, M. A., Beijnen, J. H., ... &amp; Schellens, J. H. (2008). Effect of
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                            the ATP-binding cassette drug transporters ABCB1, ABCG2, and ABCC2 on erlotinib hydrochloride (Tarceva)
 +
                            disposition in in vitro and in vivo pharmacokinetic studies employing
 +
                            Bcrp1−/−/Mdr1a/1b−/−(triple-knockout) and wild-type mice. Molecular cancer therapeutics, 7(8),
 +
                            2280-2287.</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt 21pt; text-align:justify; text-indent:-21pt"><span style="font-family:'Times New Roman'; font-size:12pt">[10]</span><span
 +
                            style="font:7.0pt 'Times New Roman'"> </span><span style="font-family:'Times New Roman'; font-size:12pt">Omata,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">T.,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">Price,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">G.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">D.,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">Badger,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">M.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">R.,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">Okamura,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">M.,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">Gohta,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">S.,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">&amp;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">Ogawa,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">T.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">(1999).</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">Identification</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">of</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">an</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">ATP-binding</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">cassette</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">transporter</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">involved</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">in</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">bicarbonate</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">uptake</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">in</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">the</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">cyanobacterium</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">Synechococcus</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">sp.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">strain</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">PCC</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">7942.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">Proceedings</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">of</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">the</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">National</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">Academy</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">of</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">Sciences,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">96(23),</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">13571-13576.</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 12pt 21pt; text-align:justify; text-indent:-21pt"><span style="font-family:'Times New Roman'; font-size:12pt">[11]</span><span
 +
                            style="font:7.0pt 'Times New Roman'"> </span><span style="font-family:'Times New Roman'; font-size:12pt">Geertsma,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">E.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">R.,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">Mahmood,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">N.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">N.,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">Schuurman-Wolters,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">G.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">K.,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">&amp;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">Poolman,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">B.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">(2008).</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">Membrane</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">reconstitution</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">of</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">ABC</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">transporters</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">and</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">assays</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">of</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">translocator</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">function.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">Nature</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">protocols,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">3(2),</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">256.</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt 21pt; text-align:justify; text-indent:-21pt"><span style="font-family:'Times New Roman'; font-size:12pt">[12]</span><span
 +
                            style="font:7.0pt 'Times New Roman'"> </span><span style="font-family:'Times New Roman'; font-size:12pt">George,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">A.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">M.,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">&amp;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">Jones,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">P.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">M.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">(2012).</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">Perspectives</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">on</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">the</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">structure–function</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">of</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">ABC</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">transporters:</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">the</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">switch</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">and</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">constant</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">contact</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">models.</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">Progress</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">in</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">biophysics</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">and</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">molecular</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">biology,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">109(3),</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span style="font-family:'Times New Roman'; font-size:12pt">95-107.</span></p>
 +
                    <p style="line-height:20pt; margin:0pt 0pt 10pt 21pt; orphans:0; text-align:justify; text-indent:-21pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">[13]</span><span style="font:7.0pt 'Times New Roman'">
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">Dosanjh,</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">N.</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">S.,</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">&amp;</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">Michel,</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">S.</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">L.</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">(2006).</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">Microbial</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">nickel</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">metalloregulation:</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">NikRs</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">for</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">nickel</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">ions.</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">Current</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">opinion</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">in</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">chemical</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">biology,</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">10(2),</span><span style="font-family:'Times New Roman'; font-size:12pt">&#xa0;</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt">123-130.</span><span style="font-family:'Times New Roman'; font-size:12pt">
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                        </span></p>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt 21pt; orphans:0; text-align:justify; text-indent:-21pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">[14]</span><span style="font:7.0pt 'Times New Roman'">
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                        </span><span style="font-family:'Times New Roman'; font-size:12pt">Tao Zhu. Study on the Mechanism of
 +
                            Regulation for the Nickel Resistance Determinant Expression in </span><span style="font-family:'Times New Roman'; font-size:12pt; font-style:italic">Leptospirillum
 +
                            ferriphilum</span><span style="font-family:'Times New Roman'; font-size:12pt"> UBK03.</span><span style="font-family:'Times New Roman'; font-size:12pt">
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">Chinese Academy of Agricultural Sciences
 +
                            Dissertation</span><span style="font-family:宋体; font-size:12pt">,</span><span style="font-family:'Times New Roman'; font-size:12pt">2011.</span></p>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt 21pt; orphans:0; text-align:justify; text-indent:-21pt; widows:0"><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">[15]</span><span style="font:7.0pt 'Times New Roman'">
 +
                        </span><span style="font-family:'Times New Roman'; font-size:12pt">X</span><span style="font-family:'Times New Roman'; font-size:12pt">inming
 +
                            Yang, Dechen Xu, Tianfan Cheng, Zhaoyong Xi, Linhong Zhao, Yangzhong Liu, Hongzhe Sun. Recent Progress
 +
                            of Copper and Nickel Chaperones. PROGRESS IN CHEMISTRY</span><span style="font-family:'Times New Roman'; font-size:12pt">,</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt"> 2013</span><span style="font-family:'Times New Roman'; font-size:12pt">,</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt"> 25(4). </span></p>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt 21pt; orphans:0; text-align:justify; text-indent:-21pt; widows:0"><span
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                            style="font-family:'Times New Roman'; font-size:12pt">[16]</span><span style="font:7.0pt 'Times New Roman'">
 +
                        </span><a name="OLE_LINK2"></a><a name="OLE_LINK1"><span style="font-family:'Times New Roman'; font-size:12pt">Junhua
 +
                                Kang.</span><span style="font-family:'Times New Roman'; font-size:12pt"> </span><span style="font-family:'Times New Roman'; font-size:12pt">Fermentation
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                                of N- acetylglucosamine and N- acetylneuraminic acid by recombinant Escherichia coli. </span><span
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                                style="font-family:'Times New Roman'; font-size:12pt">S</span><span style="font-family:'Times New Roman'; font-size:12pt">handong
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                                University</span><span style="font-family:'Times New Roman'; font-size:12pt">,</span><span style="font-family:'Times New Roman'; font-size:12pt">
 +
                                2012. </span></a></p>
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                    <p style="line-height:20pt; margin:0pt 0pt 10pt 21pt; orphans:0; text-indent:-21pt; widows:0"><span style="font-family:'Times New Roman'; font-size:12pt">[17]</span><span
 +
                            style="font:7.0pt 'Times New Roman'"> </span><span style="font-family:'Times New Roman'; font-size:12pt">Pengfei
 +
                            Gu.</span><span style="font-family:'Times New Roman'; font-size:12pt"> </span><span style="font-family:'Times New Roman'; font-size:12pt">Production
 +
                            of L-tryptophan by recombinant E-coli. </span><span style="font-family:'Times New Roman'; font-size:12pt">S</span><span
 +
                            style="font-family:'Times New Roman'; font-size:12pt">handong University</span><span style="font-family:'Times New Roman'; font-size:12pt">,</span><span
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                            style="font-family:'Times New Roman'; font-size:12pt"> 2013.</span><span style="-aw-bookmark-end:OLE_LINK2"></span><span
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                            style="-aw-bookmark-end:OLE_LINK1"></span><span style="font-family:'Times New Roman'; font-size:12pt">
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                        </span></p>
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    </section>
  
 
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{{ HBUT-China/templates/footer }}
<h1> Modeling</h1>
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<p>Mathematical models and computer simulations provide a great way to describe the function and operation of BioBrick Parts and Devices. Synthetic Biology is an engineering discipline, and part of engineering is simulation and modeling to determine the behavior of your design before you build it. Designing and simulating can be iterated many times in a computer before moving to the lab. This award is for teams who build a model of their system and use it to inform system design or simulate expected behavior in conjunction with experiments in the wetlab.</p>
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<div class="clear"></div>
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<div class="column full_size">
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<h3> Gold Medal Criterion #3</h3>
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<p>
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Convince the judges that your project's design and/or implementation is based on insight you have gained from modeling. This could be either a new model you develop or the implementation of a model from a previous team. You must thoroughly document your model's contribution to your project on your team's wiki, including assumptions, relevant data, model results, and a clear explanation of your model that anyone can understand.
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<br><br>
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The model should impact your project design in a meaningful way. Modeling may include, but is not limited to, deterministic, exploratory, molecular dynamic, and stochastic models. Teams may also explore the physical modeling of a single component within a system or utilize mathematical modeling for predicting function of a more complex device.
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</p>
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<p>
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Please see the <a href="https://2018.igem.org/Judging/Medals"> 2018
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  Medals Page</a> for more information.
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</p>
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</div>
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<div class="column two_thirds_size">
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<h3>Best Model Special Prize</h3>
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<p>
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To compete for the <a href="https://2018.igem.org/Judging/Awards">Best Model prize</a>, please describe your work on this page  and also fill out the description on the <a href="https://2018.igem.org/Judging/Judging_Form">judging form</a>. Please note you can compete for both the gold medal criterion #3 and the best model prize with this page.
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<br><br>
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You must also delete the message box on the top of this page to be eligible for the Best Model Prize.
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</p>
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<div class="highlight decoration_A_full">
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<h3> Inspiration </h3>
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<p>
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Here are a few examples from previous teams:
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</p>
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<ul>
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<li><a href="https://2016.igem.org/Team:Manchester/Model">2016 Manchester</a></li>
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<li><a href="https://2016.igem.org/Team:TU_Delft/Model">2016 TU Delft</li>
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<li><a href="https://2014.igem.org/Team:ETH_Zurich/modeling/overview">2014 ETH Zurich</a></li>
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<li><a href="https://2014.igem.org/Team:Waterloo/Math_Book">2014 Waterloo</a></li>
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</ul>
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Latest revision as of 16:55, 17 October 2018

Model



Equation Chapter 1 Section 1Modelling

Our experiment creates a biological device for measuring Ni2+ concentration. Therefore, the main purpose of our modeling is to find the functional relationship between the ambient Ni2+ concentration (Nienvior.) and the luminescent intensity (LI) expressed by Lux. Firstly, we established a mathematical model to describe the dynamic process of the whole experiment, compared the predicted results with the experimental data, and adjusted the model with the experimental data to obtain the functional relationship between Nienvior. and LI.

Our model is divided into three parts. Firstly, NikABCDE is an ABC superfamily transport system, whose function is to transport Ni2+. Secondly, NcrB protein is the core regulatory system, which can bind with Ni2+ and then release the inhibition of promoter PncrA. Thirdly, as the inhibition of PncrA is released, the fluorescent protein gene of LuxCDABE connected downstream of PncrA can express and luminescence. Models are established for these three parts, and the effect of Nienvior. concentration on luminescent intensity is obtained.

Symbol Description

Symbol

Description

ki

Rate constants for each reaction

Ni

The concentration of Ni2+ in cells

Nienvior.

Ni2+ concentration in the extracellular environment

E

Ni2+ transporter protein concentration (quantity)--NikABCDE

R

Concentration of NcrB in E.coli

P

Promoter PncrA that binds to NcrB repressor

LI

Luminescent Intensity

mRNA production rate from NcrB DNA

Translation rate of NcrB mRNA

NikABCDE Transports Ni2+

NikABCDE is an ABC superfamily transport system, and can transport Ni2+ for E.coli. Among them, two transmembrane proteins, NikB and NikC, constitute the transmembrane core of the transport system. NikA is the periplasmic binding protein (PBP), which can transfer captured nickel ions to the NikBC core, and NikD and NikE are two cytoplasmic proteins (De Pina, et al., 1995). Navarro, et al., 1993).

NikABCDE system for transporting Ni2 + process shows below

ke is the binding rate of nikABCDE and Ni2+ , and the value of kis 0.1uM(Englert, 2010).

1. Assumption

        Ni2 + diffusion equilibrium assumption

when Ni2 + are transported into the cell, internal balance of Ni2+ concentration will be influenced, which can lead to uneven distribution of Ni2+concentration instantaneously. With a certain amount of time for the free diffusion, the Ni2+ concentration in the cell can be steady. So we assume that Ni2+ transported into the cell will have an uniform distribution instantaneously. And this assumption is completely true in the case of lower transport rate of the transporter protein.

2. Model

Reference diffusion balance model, establish ODE of Ni2 + diffusion model. From the law of mass action, the ODE between Ni and NiE is obtained

(1.1)

(1.2)

Regulation of PncrA Mediated by NcrB

When the bacteria were in a low-concentration Ni2+ environment, the repressor protein NcrB binds to promoter PncrA, making LuxCDABE downstream of PncrA unable to express. When bacteria are in a high concentration of Ni2+ environment, the intracellular Ni2+ concentration accumulates, NcrB binds to Ni2+, changes the conformational mode of NcrB, which falls off PncrA. The PncrA promoter is transcribed, and the LuxCDABE expression downstream of PncrA promoter emitted fluorescence. In this model, a kinetic model is established, and the functional relationship between Ni2+ concentration and Luminescent Intensity is deduced.

1. Assumption

        Assumption of NcrB

For NcrB, we make the assumption that there are three forms in the cells within the NCRB, respectively is free NCRB, NCRB - PncrA compounds, as well as the NCRB Ni2+ complexes. And in the process of inhibition of Ni2+ contact NcrB protein, which can be treated as competition between competition between Ni2 + and PncrA . In the process of competition, free NcrB can be regarded as an intermediate transition state. Specifically,  NcrB is detached from the promoter and becomes a free NcrB, which then binds to the Ni2+ to form a NcrB-Ni2+ complex, so the concentration of NcrB in the intermediate state can be seen as a constant.

        Transcription Assumption

1) The total transcription rate is mainly determined by the amount of substrate – NcrB dissociates with PncrA and the intensity of PncrA.

2) The promoter PncrA intensity (in polymerase per second) is a constant that represents the maximum expression rate of transcription.

3) The total transcription rate is the function of the maximum transcription rate and the fraction of the signal molecule bound to its binding site.

4) For constitutive expression of genes - NcrB, we can assume that it is the maximum transcript.

        Translation Assumption

1) The main factor influencing the translation rate is the rate of ribosomes across the mRNA, which can be approximated by constant rates.

2) The translation rate is limited by the amount of available mRNA transcripts that bind with ribosome.

3) The translation rate is a function of the ribosome velocity and the mRNA transcript concentration.

2. Model

Using the above parameters, we can construct a series of ODE representing our biosensor network.

           (1.3)

              (1.4)

                (1.5)

              (1.6)

is mRNA production rate from NcrB DNA, which values 0.0014nM·min-1(Junhua, 2012). is translation rate of NcrB mRNA, which values 0.0093nM·min-1 (Pengfei, 2013).

3. Model Simplification

To simplify the calculation, ignore the parts that have little impact, and simplify the process as follows

k2 is the reaction rate constant for the binding of Ni2+ and NcrB, the value of k2 is 8nM (Xinming Yang. 2013).

It can be seen from the assumption that R is the intermediate constant value during the change process, and R0 is the total amount of intracellular NcrB, which is a function of copy number B of plasmid

(1.7)

Intracellular PncrA has two states, that is, binding to NcrB and free

(1.8)

The binding process of Ni2+ and R can be regarded as steady state equilibrium,

(1.9)

(1.10)

Luminescence Process of LuxCDABE

When Ni2+ is combined with NcrB, it can make promoter PncrA transcription, and then LuxCDABE expression and luminescence in the downstream. Luminescent intensity is related to the amount of LuxCDABE expression, and the amount of LuxCDABE expression is related to the amount of promoter PncrA transcription.

1. Assumption

        All of the detected promoter PncrA were produced by the unbinding of NcrB

        The luminescent intensity is positively correlated with the promoter concentration

2. Model

The luminescent intensity can be modelled as below:

(1.11)

Relationship between LI and t

The purpose of modeling is to obtain the relationship between Luminescent Intensity LI and Ni2+ concentration in vitro, solve (1.1)~(1.10), and substitute (1.11) to get the analytical solution of LI.

(1.12)

while

           (1.13)

to simplify the formula, we discuss it further

LI can't go up indefinitely, or Ni2+ can't go up indefinitely, so r1, r2 <0γ>0. When the ,

(1.14)

It can be seen that when the external Ni2+ in vitro is a constant value, the final LI will tend to be a constant value

 Relationship between Ni2+ in vitro and LImax

From the derivation, the relationship between lg(Nienvior.) in vitro and LImax is linear. However, according to the experimental data, LImax shows a downward trend after reaching a certain concentration, and tends to 0 as the concentration increases. Therefore, we suspect that this is related to the cytotoxicity of Ni2+ and related experiments have been conducted. Through the experimental results, the modified model of LI and lg(Nienvior.) is established, and the original model was modified with this model. Compared with the experimental results, the model is in good agreement.

1. The linear correlation between LI and lg(Nienvior.)

When the external Ni2+ in vitro is a constant value, the final LI will tend to be a constant value. On this basis, we discuss how Nienvior is positively correlated with LImax.

When t→

(1.15)

while

(1.16)

according to modethe relation between LImax and Nienvior. is  positive correlation.

We analyze the experimental data and find, within a certain range of Nienvior , concentration LImax and lg(Nienvior) are linear correlation.

2. Model Verification By Experiment

We make a line graph of experimental data as figure 4

We find that LImax and lg(Nienvior) tend to be a linear function with a positive correlation when lg(Nienvior) is in the range of (--3]. However, after the value of lg(Nienvior) is greater than -3, the value of LImax decreases significantly. Considering the influence of high concentration of nickel ions on cytotoxicity, the cytotoxicity of nickel ions is analyzed.

3. The Cytotoxicity of Nickel Ions

Using the Logistic equation to fit the data

                      

We can get the following results:

Coefficients (with 95% confidence bounds):

       a = 1.086  (1.027, 1.146)

       b = 0.2424  (-0.4756, 0.9605)

       c =7.07  (1.872, 12.27)

Goodness of fit:

  SSE: 0.005441

  R-square: 0.9971

  Adjusted R-square: 0.9957

  RMSE: 0.03688

We can find that the adjusted R-square is close to 1, indicating the regression equation for fitting data is very appropriate. The figure of regression is as follows:

Figure 5 The Cytotoxicity of Nickel Ions

Based on the previous data and graphic, toxicity function can be established as

(1.17)

4. Modifying the Model

According to the above part, the model is modified as follows:

Considering cytotoxicity, the model is modified. LImax is modified to be . With the Matlab, we get the revised relationship between LI and lg(Nienvior.)

Compare the revised model with the data.

According to the modified model, the relationship between LImax and lg(Nienvior) is predicted, as shown in figure 6. In the figure, the red dots represent the measurement data of the real experiment. It can be seen that our model has a good agreement with the experiment.


References

[1]     Schinkel, A. H., & Jonker, J. W. (2012). Mammalian drug efflux transporters of the ATP binding cassette (ABC) family: an overview. Advanced drug delivery reviews, 64, 138-153.

[2]     Proshkin, S. et al: Cooperation Between Translating Ribosomes And RNA Polymerase In Transcription Elongation. Science 328.5977 (2010): 504-508. Web.

[3]     Young, R and H Bremer: Polypeptide-Chain-Elongation Rate In Escherichia Coli B/R As A Function Of Growth Rate. Biochem. J. 160.2 (1976): 185-194. Web.

[4]     Patricia A: Mathematical model of the Lux luminescence system in the terrestrial bacterium Photorhabdus luminescens. Molecular BioSystems. 10.1039(2009):68-76

[5]     Englert, Derek L: Repellent Taxis in Response to Nickel Ion Requires neither Ni2+Transport nor the Periplasmic NikA Binding Protein. Journal of Bacteriology 192.10(2010): 17

[6]     Oloo, E. O., & Tieleman, D. P. (2004). Conformational transitions induced by the binding of MgATP to the vitamin B12 ATP-binding cassette (ABC) transporter BtuCD. Journal of Biological Chemistry, 279(43), 45013-45019.

[7]     Rowe, J. L., Starnes, G. L., & Chivers, P. T. (2005). Complex transcriptional control links NikABCDE-dependent nickel transport with hydrogenase expression in Escherichia coli. Journal of bacteriology, 187(18), 6317-6323.

[8]     Heddle, J., Scott, D. J., Unzai, S., Park, S. Y., & Tame, J. R. (2003). Crystal structures of the liganded and unliganded nickel-binding protein NikA from Escherichia coli. Journal of Biological Chemistry, 278(50), 50322-50329.

[9]     Marchetti, S., de Vries, N. A., Buckle, T., Bolijn, M. J., van Eijndhoven, M. A., Beijnen, J. H., ... & Schellens, J. H. (2008). Effect of the ATP-binding cassette drug transporters ABCB1, ABCG2, and ABCC2 on erlotinib hydrochloride (Tarceva) disposition in in vitro and in vivo pharmacokinetic studies employing Bcrp1−/−/Mdr1a/1b−/−(triple-knockout) and wild-type mice. Molecular cancer therapeutics, 7(8), 2280-2287.

[10] Omata, T., Price, G. D., Badger, M. R., Okamura, M., Gohta, S., & Ogawa, T. (1999). Identification of an ATP-binding cassette transporter involved in bicarbonate uptake in the cyanobacterium Synechococcus sp. strain PCC 7942. Proceedings of the National Academy of Sciences, 96(23), 13571-13576.

[11] Geertsma, E. R., Mahmood, N. N., Schuurman-Wolters, G. K., & Poolman, B. (2008). Membrane reconstitution of ABC transporters and assays of translocator function. Nature protocols, 3(2), 256.

[12] George, A. M., & Jones, P. M. (2012). Perspectives on the structure–function of ABC transporters: the switch and constant contact models. Progress in biophysics and molecular biology, 109(3), 95-107.

[13] Dosanjh, N. S., & Michel, S. L. (2006). Microbial nickel metalloregulation: NikRs for nickel ions. Current opinion in chemical biology, 10(2), 123-130.

[14] Tao Zhu. Study on the Mechanism of Regulation for the Nickel Resistance Determinant Expression in Leptospirillum ferriphilum UBK03. Chinese Academy of Agricultural Sciences Dissertation2011.

[15] Xinming Yang, Dechen Xu, Tianfan Cheng, Zhaoyong Xi, Linhong Zhao, Yangzhong Liu, Hongzhe Sun. Recent Progress of Copper and Nickel Chaperones. PROGRESS IN CHEMISTRY, 2013, 25(4).

[16] Junhua Kang. Fermentation of N- acetylglucosamine and N- acetylneuraminic acid by recombinant Escherichia coli. Shandong University, 2012.

[17] Pengfei Gu. Production of L-tryptophan by recombinant E-coli. Shandong University, 2013.