Team:Evry/Modeling

From 2013.igem.org

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(Modeling:)
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{{:Team:Evry/template_v1}}
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!align="center"|[[Team:Evry|Home]]
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<html>
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!align="center"|[[Team:Evry/Team|Team]]
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!align="center"|[https://igem.org/Team.cgi?year=2013&team_name=Evry Official Team Profile]
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!align="center"|[[Team:Evry/Project|Project]]
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!align="center"|[[Team:Evry/Parts|Parts Submitted to the Registry]]
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!align="center"|[[Team:Evry/Modeling|Modeling]]
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!align="center"|[[Team:Evry/Notebook|Notebook]]
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!align="center"|[[Team:Evry/Safety|Safety]]
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!align="center"|[[Team:Evry/Attributions|Attributions]]
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= Modeling: =
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<h1>Modeling:</h1>
The modeling part is planned around 4 main targets:
The modeling part is planned around 4 main targets:
<ul>
<ul>
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     <li>[[Growth of an iron-chelating bacterial population]]</li>
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     <li>Growth of an iron-chelating bacterial population
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     <li>[[Risk assessment : forecast, control, auto-regulation, ...]]</li>
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     <li>Risk assessment : forecast, control, auto-regulation, ...
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     <li>[[Bacterial activity : iron-chelation rate, avidity (cellular scale)]]</li>
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     <li>Bacterial activity : iron-chelation rate, avidity (cellular scale)
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     <li>[[Intestine mapping and interactions]]</li>
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     <li>Intestine mapping and interactions
</ul>
</ul>
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== First approach: ==
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<h1>First approach: </h1>
For a better understanding of the bacteria our team is going to produce, we chose to first focus on the growth of an iron-chelating bacterial population.  
For a better understanding of the bacteria our team is going to produce, we chose to first focus on the growth of an iron-chelating bacterial population.  
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Let us suppose we have <math>N_0</math> initial siderophore-producing bacterias in a closed system with dissolved iron. Monitoring the evolution of those bacterias, the dissolved iron, the siderophores and the chelated iron through a simple model will help our biologists tune their constructions.<br/><br/>
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<br/>Let us suppose we have <math>N_0</math> initial siderophore-producing bacterias in a closed system with dissolved iron. Monitoring the evolution of those bacterias, the dissolved iron, the siderophores and the chelated iron through a simple model will help our biologists tune their constructions.<br/><br/>
<img:systeme differentiel/><br/><br/>
<img:systeme differentiel/><br/><br/>
where <math>\alpha</math> is the Mc Kellar adaptation factor:<br/><br/>
where <math>\alpha</math> is the Mc Kellar adaptation factor:<br/><br/>
<img:McKellar><br/><br/>
<img:McKellar><br/><br/>

Revision as of 11:54, 16 July 2013

Modeling:

The modeling part is planned around 4 main targets:
  • Growth of an iron-chelating bacterial population
  • Risk assessment : forecast, control, auto-regulation, ...
  • Bacterial activity : iron-chelation rate, avidity (cellular scale)
  • Intestine mapping and interactions

First approach:

For a better understanding of the bacteria our team is going to produce, we chose to first focus on the growth of an iron-chelating bacterial population.
Let us suppose we have N_0 initial siderophore-producing bacterias in a closed system with dissolved iron. Monitoring the evolution of those bacterias, the dissolved iron, the siderophores and the chelated iron through a simple model will help our biologists tune their constructions.



where \alpha is the Mc Kellar adaptation factor: