Team:HUST-China/Modelling

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          <li class="active"><a href="javascript:void;">Overview</a></li>
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          <li><a href="https://2013.igem.org/Team:HUST-China/Modelling/DDE_Model"></i>Delay Difference Equations</a></li>
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<li><a href="https://2013.igem.org/Team:HUST-China/Modelling/DDE_Model"></i>Delay Difference Equations</a></li>
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                                        <li><a href="https://2013.igem.org/Team:HUST-China/Modelling/MCOS"></i>Multi Cells Oscillation Simulation</a></li>
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<li><a href="https://2013.igem.org/Team:HUST-China/Modelling/Parameter_Range_and_Sensitivity_Analysis"></i>Parameter Range and Sensitivity Analysis</a></li>
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<li><a href="https://2013.igem.org/Team:HUST-China/Modelling/Stability"></i>Stability</a></li>
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<li><a href="https://2013.igem.org/Team:HUST-China/Modelling/MCOS"></i>Multi Cells Oscillation Simulation</a></li>
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Revision as of 18:05, 27 September 2013

Overview

The major goal of modeling this year is stimulating the working condition of the oscillation. The genetic oscillation we used is described as below.

Fig 1.The pathway of genetic oscillator used in this paper

The enzymes that can induce the expression of propanoic acid is replaced with mRFP. Throughout the whole paper, we choose to study AraC instead of mRFP since they are in the same plasmid and expression rate of both protein is similar. By doing this, we can reduce the number of equations. We put our focus mainly on two aspect: (1)Oscillator of a single cell (DDEs). (2)Oscillator of a group of cells (MCOS). To be more specifically, we want to find out if this genetic oscillator can oscillate in the first place, if it is stable against environment change, if its period can be adjusted, whether a large group of these oscillators can oscillate as well.