Team:Evry/ent prod
From 2013.igem.org
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<h1>Enterobactin production model overview</h1> | <h1>Enterobactin production model overview</h1> | ||
<img src="https://static.igem.org/mediawiki/2013/3/3b/EntBS.png" alt="Ent" width="50%" style="float:right;"/> | <img src="https://static.igem.org/mediawiki/2013/3/3b/EntBS.png" alt="Ent" width="50%" style="float:right;"/> | ||
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<h2>Introduction</h2> | <h2>Introduction</h2> | ||
<p> | <p> | ||
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+ | In order to determine our <b><span style="color:#bb8900">Iron</span><span style="color:#7B0000"> Coli</span></b>'s enterobactin production rate, we modelize the different systems uses in our project: the iron sensor, the inverter system and the chelator system.We then divided this model in 3 differents parts.<br/> | ||
+ | The first part focuses on the synthetic <a href="https://2013.igem.org/Team:Evry/Sensor">sensing system</a>, the second on our <a href="https://2013.igem.org/Team:Evry/Inverter">inverter system</a> our team implemented in the bacteria. The last part intagrate those previous parts with the chemical reactions leading to the enterobactin production. | ||
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Revision as of 23:33, 28 October 2013
Enterobactin production model overview
Introduction
In order to determine our Iron Coli's enterobactin production rate, we modelize the different systems uses in our project: the iron sensor, the inverter system and the chelator system.We then divided this model in 3 differents parts.
The first part focuses on the synthetic sensing system, the second on our inverter system our team implemented in the bacteria. The last part intagrate those previous parts with the chemical reactions leading to the enterobactin production.
Observations
Goals
We wanted to build a generic duodenal iron absorption model so that:
- We can have a realistic model of iron absorption: "How iron is absorbed in an healthy person and in a sick patient ?
- We can know how our first strategy of treatment would work: "Is it possible to chelate a significant amount of iron with a flush strategy?"
Materials and Methods
Assumptions
With use the same assumptions as in the previous model apply:
Model
We use Ordinary Differential Equation to modelize the duodenum and the potentiel impact of our flush strategy treatment:
Results
Conclusion
Models and scripts