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Team:UT Dallas/immunobot modeling
From 2011.igem.org
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| + | where R^T is the total receptor concentration. The governing differential equations of this module are: | ||
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Revision as of 00:01, 29 September 2011
Model and simulation
The signaling network from the input of external ligand signal to the output of the tumbling state of a E coli cell can be quantitatively described by a modular model. The model is formulated based on the law of mass action and Michaelis-Menten mechanism and contains four relatively independent modules that are explained in detail below.Module 1: Activation of ToxR receptor
In this module, the ligand signal activates the ToxR receptor into a dimerized complex formed with the ligand, which is the active state of the receptor. The biochemical reaction can be illustrated as:
