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Team:Imperial College London/Drylab/Autoinduction/Model1
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| - | ==Model analysis== | + | ==+Model analysis=== |
| - | <html><a href="https://2009.igem.org/Team:Imperial_College_London/Drylab/Autoinduction/Analysis"><img style="vertical-align:bottom;" width=90px align="left" src="http://i691.photobucket.com/albums/vv271/dk806/II09_Learnmore.png"></a></html> about the model assumptions and predictions. | + | <b>Assumptions</b><br> |
| + | *Michaelis Menten Assumptions [https://2009.igem.org/Team:Imperial_College_London/Drylab/Enzyme (see drug kinetics model) ] have been applied in the kinetics of consumption of enzyme and substrate | ||
| + | *Effects of competition and induction can be represented by probabilistic variables (u and v) and are directly dependent on the rate of consumption of any given substrate S_i within the mixture | ||
| + | *More details about assumptions made for each individual variable are described in the paper. | ||
| + | <br> | ||
| + | <br> | ||
| + | <b>Predictions</b><br> | ||
| + | *In a mixture of substrates, glucose is always used up first by the culture, and then any other secondary source present in the medium. | ||
| + | *The time length of the primary and secondary exponential phases of growth in the biomass depend on the initial concentration of carbon sources. | ||
| + | *This will help to predict the switching point between two sources. | ||
| + | *In our project: | ||
| + | **The primary Carbon source: Provides repression of the CRP promoter and delays the start of the encapsulation phase (Module 2) | ||
| + | **The secondary Carbon Source: Will power the system once the primary source has been used up. Finding the best secondary carbon source can help us draw a relationship with the output yield of colanic acid. | ||
| + | <html><a href="https://2009.igem.org/Team:Imperial_College_London/Drylab/Autoinduction/Analysis/Kompala"><img style="vertical-align:bottom;" width=90px align="left" src="http://i691.photobucket.com/albums/vv271/dk806/II09_Learnmore.png"></a></html> about the model assumptions and predictions. | ||
<br> | <br> | ||
<br> | <br> | ||
Revision as of 18:09, 6 October 2009
- Overview
- Kompala et al model
- Kompala et al simulations
- Keasling et al model
- Kremling
Contents |
+Model analysis=
Assumptions
- Michaelis Menten Assumptions (see drug kinetics model) have been applied in the kinetics of consumption of enzyme and substrate
- Effects of competition and induction can be represented by probabilistic variables (u and v) and are directly dependent on the rate of consumption of any given substrate S_i within the mixture
- More details about assumptions made for each individual variable are described in the paper.
Predictions
- In a mixture of substrates, glucose is always used up first by the culture, and then any other secondary source present in the medium.
- The time length of the primary and secondary exponential phases of growth in the biomass depend on the initial concentration of carbon sources.
- This will help to predict the switching point between two sources.
- In our project:
- The primary Carbon source: Provides repression of the CRP promoter and delays the start of the encapsulation phase (Module 2)
- The secondary Carbon Source: Will power the system once the primary source has been used up. Finding the best secondary carbon source can help us draw a relationship with the output yield of colanic acid.
about the model assumptions and predictions.
The system
Simulation results
Basic conclusions
