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Team:Evry/Model3
From 2013.igem.org
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Enzymes regulation:<br/> | Enzymes regulation:<br/> | ||
| - | This regulation is based on two consecutives inhibitions, which, in the end, is an activator with a certain delay. The model will follow this principle.</p> | + | This regulation is based on two consecutives inhibitions, which, in the end, is an activator with a certain delay. The model will follow this principle. |
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Variables:<br/> | Variables:<br/> | ||
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<li>[Enz] : Enzyme concentration : EntA,-B,-C,-D,-E,-F</li> | <li>[Enz] : Enzyme concentration : EntA,-B,-C,-D,-E,-F</li> | ||
</ul> | </ul> | ||
| - | All those concentrations are expressed in mmol/L</p> | + | All those concentrations are expressed in mmol/L |
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Parameters table: <br/> | Parameters table: <br/> | ||
| - | <img src=""/></p> | + | <img src=""/> |
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Revision as of 16:07, 4 October 2013
Metabolic model
Overview
Assumptions
Model Description
Results
Conclusion
Enzymes regulation:
This regulation is based on two consecutives inhibitions, which, in the end, is an activator with a certain delay. The model will follow this principle.
Variables:
- [Fe] : Iron concentration inside the bacteria
- [Fur] : FUR concentration inside the bacteria
- [FeFur] : Iron-FUR complex concentration inside the bacteria
- LacI : Number of inhibited LacI
- LacO : Number of non-inhibited LacO
- [mRNA]: mRNA (from LacO) concentration
- [Enz] : Enzyme concentration : EntA,-B,-C,-D,-E,-F
Parameters table:
Fe, FUR and FeFUR:
The iron-FUR complex is simply formed that way:
We reduced this equation to:
Which is not annoying, since we just have to divide our [FeFur] by to to get the real complex concentration.
We can easily write down both the formation (v) and the dissociation (v') speed:
We chose to model the iron input in the bacteria using a linear function of the external iron concentration Ferext, the factor p being the cell-wall permeability for iron.
The FUR on the other hand, is produced by the bacteria. It's evolution can also be considered linerar, using a mean production rate Fur0.
In this model, we only track the free Fe-FUR and not those which are attached to a FUR Binding Site. As LacI is the number of inhibited LacI, we can use this number to express how much Fe-FUR does bind to a FBS per unit of time.
References:
