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Team:Tsinghua-A/Modeling/GILLESPIE/part2
From 2012.igem.org
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<p><b>(VAN DUYNE G D, 2001)</b></p> | <p><b>(VAN DUYNE G D, 2001)</b></p> | ||
<img src="https://static.igem.org/mediawiki/2012/8/80/THU-AMGP22.png"/> | <img src="https://static.igem.org/mediawiki/2012/8/80/THU-AMGP22.png"/> | ||
| - | <p><b>(VAN DUYNE G D, 2001)</b></p> | + | <p style="margin-left:300px;"><b>(VAN DUYNE G D, 2001)</b></p> |
<p>The following are the reactions which are related to the process of inversion. </p> | <p>The following are the reactions which are related to the process of inversion. </p> | ||
<img src="https://static.igem.org/mediawiki/2012/d/d3/THU-AMGP24.png"/> | <img src="https://static.igem.org/mediawiki/2012/d/d3/THU-AMGP24.png"/> | ||
Revision as of 04:43, 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:
