Difference between revisions of "Team:Lethbridge HS/Model"

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<h2>Discrete Time Model</h2>
 
<h2>Discrete Time Model</h2>
 
<p style="font-size: 18px; font-family: 'Open Sans'"><b>Purpose:</b>Given an initial Multiplicity of Infection (MOI) and infection onset point (during a bacteria lifecycle), determine how the populations of bacteria and phages change over discrete time intervals.</p>
 
<p style="font-size: 18px; font-family: 'Open Sans'"><b>Purpose:</b>Given an initial Multiplicity of Infection (MOI) and infection onset point (during a bacteria lifecycle), determine how the populations of bacteria and phages change over discrete time intervals.</p>
<p style="font-size: 18px; font-family: 'Open Sans'"><b>Assumptions</b>
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<p style="font-size: 18px; font-family: 'Open Sans'"><b>Assumptions:</b></p>
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  <li>There is no delay in infection</li>
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  <li>All bacteria are susceptible to infection, and all infections are successful.</li>
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  <li>All bacteria death is caused by infection (i.e. there is no natural death)</li>
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</ul> 
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<p><h1></h1> <b></b>
 
<p><h1></h1> <b></b>
 
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Revision as of 04:40, 17 October 2018



MODELLING

The evolution of our bacteria-phage dynamic model helped us gain a better understanding of the interaction between a bacteria population and a phage population and its impact on the viability of our design. After defining a variety of parameters and making several assumptions, we showed that it is possible for our system of bacteria and phages to be self-sustainable. Comparing our model with our experimental results, we developed a second model where we accounted for additional factors such as a possible mutation in the bacteria’s DNA that results in resistance against phage infection. Furthermore, we modelled the copper-binding efficiency of CUP I (our copper-binding protein) to estimate the optimal ratio of enzyme and copper concentrations that would result in the most efficient binding in the implementation of our system.

Discrete Time Model

Purpose:Given an initial Multiplicity of Infection (MOI) and infection onset point (during a bacteria lifecycle), determine how the populations of bacteria and phages change over discrete time intervals.

Assumptions:

  • There is no delay in infection
  • All bacteria are susceptible to infection, and all infections are successful.
  • All bacteria death is caused by infection (i.e. there is no natural death)