Team:UCSF/Modeling Results
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- | <h3red>Result of Computational Analysis</h3red> <p> | + | <h3red>Result of Computational Analysis: Auxotoph System</h3red> <p> |
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The result of sensitivity analysis indicates that k1 or k2 should be tuned if we fail to get a steady population ratio of the two strains. But this result leaves us a dilemma in tuning the parameters in reality in experiments, because k_1 and k_2, the maximum growth rates of Escherichia coli (gDM/(Ls)), are the natural characteristics of the cells, which makes this situation intractable. We could tune α and β to get the final steady population ratio we want, but if the system couldn’t even go to a steady ratio, that doesn’t make sense in reality. That’s why a new approach should be proposed. | The result of sensitivity analysis indicates that k1 or k2 should be tuned if we fail to get a steady population ratio of the two strains. But this result leaves us a dilemma in tuning the parameters in reality in experiments, because k_1 and k_2, the maximum growth rates of Escherichia coli (gDM/(Ls)), are the natural characteristics of the cells, which makes this situation intractable. We could tune α and β to get the final steady population ratio we want, but if the system couldn’t even go to a steady ratio, that doesn’t make sense in reality. That’s why a new approach should be proposed. | ||
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- | + | <h3red>Result of Simulation: Auxotrophs</h3red> <p> | |
- | <h3red>Result of Simulation</h3red> <p> | + | <regulartext> |
+ | **A summary of our simulation forthe Auxotroph system can be downloaded<a https://dl.dropbox.com/u/24404809/iGEM%202012/igem%202012%20website%20photos/Modeling/Result%20of%20Simulation-Auxotroph.pdf"> HERE</a> <br> | ||
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Latest revision as of 02:31, 4 October 2012
![UCSF](https://dl.dropbox.com/u/24404809/iGEM%202012/igem%202012%20website%20photos/Logos/Cell%20Mates%20Logo.jpg)
![UCSF](http://dl.dropbox.com/u/24404809/Mission%20Bay.jpg)
Though we don’t know the exact parameters in the experiments, and sometimes even cannot tune every parameter in reality, the more robust a dynamic system is, the easier the experiments could succeed.
k1 and k2 are more sensitive when they are enlarged than they are reduced.
The result of sensitivity analysis indicates that k1 or k2 should be tuned if we fail to get a steady population ratio of the two strains. But this result leaves us a dilemma in tuning the parameters in reality in experiments, because k_1 and k_2, the maximum growth rates of Escherichia coli (gDM/(Ls)), are the natural characteristics of the cells, which makes this situation intractable. We could tune α and β to get the final steady population ratio we want, but if the system couldn’t even go to a steady ratio, that doesn’t make sense in reality. That’s why a new approach should be proposed.