Difference between revisions of "Team:William and Mary/Achievements"

 
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We successfully created an IFFL that utilizes the mf-Lon protease system, an extremely powerful and tunable system, since the degradation rate constant can be tuned by using different strength pdts. We tested the system with short temporal input in the small molecule induced IFFL. We were able to show that IFFLs do indeed function as temporal distinguishers.
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<li>Confirmed the biological theory behind a <a href = 'https://2018.igem.org/Team:William_and_Mary/Results' style = 'color:green;'> mathematical model of signal processing</a></li>
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<li>Designed novel experimental protocols for the <a href = 'https://2018.igem.org/Team:William_and_Mary/Measurement' style = 'color:green;'> characterization of dynamic circuits</a>.</li>
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<li>Implemented <a href='https://2018.igem.org/Team:William_and_Mary/3G' style = 'color:green;'> 3G Assembly</a>, a new method of DNA Assembly that enables the construction of multi-transcriptional unit circuits in a single day.</li>
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<div style = 'padding-left: 14%; padding-bottom: 10px;font-size: 25px' ><b>Modeling Achievements</b></div>
 
<div style = 'padding-left: 14%; padding-bottom: 10px;font-size: 25px' ><b>Modeling Achievements</b></div>
 
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we developed system of Ordinary Differential Equations (ODE) and assessed IFFL's decoding ability under noise. Results support IFFL's ability to decode time-domain information much more accurately than its counterpart as well as having superior fidelity to noise response.
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<li>Created an <a href='https://2018.igem.org/Team:William_and_Mary/Results' style = 'color:green;'>abstract model</a> of an IFFL and determined that IFFLs are capable of performing as temporal distinguishers.</li>
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<li>Created a <a href = 'https://2018.igem.org/Team:William_and_Mary/Results' style = 'color:green;'>mathematical model</a> of our temperature controlled decoding system and determined that it functions effectively as a decoder, being far more effective than a naive (non IFFL system)</li>
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<li>Determined that our decoding circuit is robust to <a href = 'https://2018.igem.org/Team:William_and_Mary/Model' style = 'color:green;'> noisy inputs</a>.</li>
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<li>Investigated the impact of  <a href='https://2018.igem.org/Team:William_and_Mary/Model' style = 'color:green;'>degradation strength</a> on the decoding circuit, finding that tuning of degradation rates can further improve the decoding ability of the system.</li>
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<div style = 'padding-left: 14%; padding-bottom: 10px;font-size: 25px' ><b>Outreach Achievements</b></div>
 
<div style = 'padding-left: 14%; padding-bottom: 10px;font-size: 25px' ><b>Outreach Achievements</b></div>
 
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See <a href="https://2018.igem.org/Team:William_and_Mary/Public_Engagement" style="color: green;"><b>Human Practices Overview</b></a> page.
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See <a href="https://2018.igem.org/Team:William_and_Mary/Public_Engagement" style="color: green;"><b>Human Practices Overview</b></a>.
 
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Latest revision as of 01:54, 18 October 2018

Achievements

Project Achievements
Modeling Achievements
  • Created an abstract model of an IFFL and determined that IFFLs are capable of performing as temporal distinguishers.
  • Created a mathematical model of our temperature controlled decoding system and determined that it functions effectively as a decoder, being far more effective than a naive (non IFFL system)
  • Determined that our decoding circuit is robust to noisy inputs.
  • Investigated the impact of degradation strength on the decoding circuit, finding that tuning of degradation rates can further improve the decoding ability of the system.
Outreach Achievements