Team:TU-Eindhoven/StochasticModel

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==Stochastic Model==
==Stochastic Model==
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{{:Team:TU-Eindhoven/Template:Lead}}To simulate the interactions of molecules in a small scale, the stochastic model is used. In the ODE models, the assumptions are made that the molecule pool is large enough and no transportation limit. However in the process of promotor this is not applicable as promotor regions only exist in small numbers. {{:Team:TU-Eindhoven/Template:LeadEnd}}
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{{:Team:TU-Eindhoven/Template:Lead}}The stochastic model is used to simulate the interactions of molecules in a small scale. In the ODE models, the assumptions are made that the molecule pool is very large and molecules are always evenly distributed, i.e., no transportation limit. However in the scope of promoter this is not applicable as promoter sites only exist in small numbers. {{:Team:TU-Eindhoven/Template:LeadEnd}}
==Decoy Sites==<!-- To be improved, add info about our own promotors and models -->
==Decoy Sites==<!-- To be improved, add info about our own promotors and models -->

Revision as of 09:26, 1 August 2013

Stochastic Model

The stochastic model is used to simulate the interactions of molecules in a small scale. In the ODE models, the assumptions are made that the molecule pool is very large and molecules are always evenly distributed, i.e., no transportation limit. However in the scope of promoter this is not applicable as promoter sites only exist in small numbers.

Decoy Sites

Tandem repeats of transcription factor binding sites could compete with the fake binding sites and affect the target gene expression. LeeDecoyTek-Hyung Lee and Narendra Maheshri, A regulatory role for repeated decoy transcription factor binding sites in target gene expression. Molecular Systems Biology 8, 576 (2012) TU-Eindhoven Images TFdegra.png

References