Team:Paris/Analysis
From 2008.igem.org
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The first conclusion one can draw is that, with parameters found in the litterature ('biological parameters') the system reaches a steady state and is far from oscillating. | The first conclusion one can draw is that, with parameters found in the litterature ('biological parameters') the system reaches a steady state and is far from oscillating. | ||
Therefore, we have used the model to infer the modifications (that means the experiments to carry out) that had to be undertaken on the biological system to change its stability. Here are some of the theoretical results of the modifications : | Therefore, we have used the model to infer the modifications (that means the experiments to carry out) that had to be undertaken on the biological system to change its stability. Here are some of the theoretical results of the modifications : | ||
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Revision as of 09:21, 28 October 2008
Core system
Purpose of this SectionNow that we have obtained a genetic network corresponding to our project, we will analyse it through modeling. Therefore, you will find in this page the principal results coming from the models, as well as some resulting simulations. FIFO behaviourWe have designed a model corresponding to the genetic network and we have obtained the following results :
OscillationsThen, we have simulated the FIFO with a negative feedback, in order to observe oscillations. We have obtained the following results :
System ImprovementsBasically, we had to explore other possibilities to obtain oscillations. After just trying to tune the parameters, we have decided to add a supplementary delay in the system, in order to allow oscillations to appear. Thus we have decided to use Quorum sensing mechanisms that will bring both this needed delay and a synchronization among the population. |