Team:Tsinghua-A/Modeling/GILLESPIE/part2

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     <h2  style="margin-top:135px; font-size:38px;">A more accurate model using Gillespie algorithm</h2>
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     <h2  style="margin-top:135px; font-size:38px;">Our model</h2>
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<p>In our model , we use Gillespie algorithm to simulate the process of inversion. Here we use 
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Markov chain to describe the process of inversion.</br>
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We assume that the state ‘A’ , ‘B’ , ‘C’ , ‘D’ , is the original state , the state after inversion , the
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Intermediate state when A forms holiday junction, the Intermediate state when B forms holiday
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junction respectively.
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</p>
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<img src="https://static.igem.org/mediawiki/2012/0/09/THU-AMGP21.png"/>
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<p><b>(VAN DUYNE G D, 2001)</b></p>
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<img src="https://static.igem.org/mediawiki/2012/8/80/THU-AMGP22.png"/>
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<p><b>(VAN DUYNE G D, 2001)</b></p>
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<p>The following are the reactions which are related to the process of inversion. </p>
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<img src="https://static.igem.org/mediawiki/2012/d/d3/THU-AMGP24.png"/>
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<p>Then we get the following Markov chain.</p>
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<img src="https://static.igem.org/mediawiki/2012/4/46/THU-AMGP23.png"/>
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<p>Here,<img src="https://static.igem.org/mediawiki/2012/2/2b/THU-AMGP25.png"/>are the probabilities of the reaction in an
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Infinitesimal time. According to the property of the Markov chain , we can get:</p>
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Revision as of 04:42, 26 September 2012

Tsinghua-A::Modeling

Our model

In our model , we use Gillespie algorithm to simulate the process of inversion. Here we use Markov chain to describe the process of inversion.
We assume that the state ‘A’ , ‘B’ , ‘C’ , ‘D’ , is the original state , the state after inversion , the Intermediate state when A forms holiday junction, the Intermediate state when B forms holiday junction respectively.

(VAN DUYNE G D, 2001)

(VAN DUYNE G D, 2001)

The following are the reactions which are related to the process of inversion.

Then we get the following Markov chain.

Here,are the probabilities of the reaction in an Infinitesimal time. According to the property of the Markov chain , we can get:





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