Team:Virginia United/Modeling

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(Modeling)
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We explored the effect of quorum sensing on the system.  Below is a list of equations that were considered in constructing our model. The Arsenic promoter is an example that is used in the following quorum sensing set of modeling equations. In our experiments, we used an IPTG inducible promoter that is upstream of the quorum sensing part and with a downstream cyan fluorescent protein.
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<!-- We explored the effect of quorum sensing on the system.  Below is a list of equations that were considered in constructing our model. The Arsenic promoter is an example that is used in the following quorum sensing set of modeling equations. In our experiments, we used an IPTG inducible promoter that is upstream of the quorum sensing part and with a downstream cyan fluorescent protein.
[[Image:modeling-formulas.jpg|628 px| center|]]
[[Image:modeling-formulas.jpg|628 px| center|]]
As seen from the graph below, the predicted response from using a quorum sensing part is a binary response with a bigger difference between the on and off state.  The quorum sensing part amplifies the signal as indicated by the blue line.  
As seen from the graph below, the predicted response from using a quorum sensing part is a binary response with a bigger difference between the on and off state.  The quorum sensing part amplifies the signal as indicated by the blue line.  
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[[Image:modeling-chart.jpg|552 px| center|]]
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[[Image:modeling-chart.jpg|552 px| center|]] -->
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It is of interest to model the amplification of the signal at steady-state through the use of quorum sensing. The model system used is induced by IPTG through the Plac promoter.
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Performing a steady-state analysis on these equations, with logically assigned parameters, we get the following result.

Revision as of 01:46, 27 October 2010

igem

Modeling

It is of interest to model the amplification of the signal at steady-state through the use of quorum sensing. The model system used is induced by IPTG through the Plac promoter.

Performing a steady-state analysis on these equations, with logically assigned parameters, we get the following result.