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Team:Aberdeen Scotland/Modeling
From 2010.igem.org
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<a href="https://2010.igem.org/Team:Aberdeen_Scotland/Equations"><h3><font color="blue">Equations</font></h3></a> | <a href="https://2010.igem.org/Team:Aberdeen_Scotland/Equations"><h3><font color="blue">Equations</font></h3></a> | ||
| - | <p>In this section we describe the process of developing a basic mathematical model for the ayeSwitch based the promotion and inhibition behaviour necessary for mutual repression. We developed a set of four differential equations, one to model each of the two mRNAs and proteins that are the active components of our system.</p> | + | <p>In this section we describe the process of developing a basic mathematical model for the ayeSwitch based on the promotion and inhibition behaviour necessary for mutual repression. We developed a set of four differential equations, one to model each of the two mRNAs and two proteins that are the active components of our system.</p> |
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<h3><a href="https://2010.igem.org/Team:Aberdeen_Scotland/Fixed_Points"><font color="blue">Fixed Points</font></a></h3> | <h3><a href="https://2010.igem.org/Team:Aberdeen_Scotland/Fixed_Points"><font color="blue">Fixed Points</font></a></h3> | ||
| - | <p>We used fixed point analysis to predict the equilibrium state of the ayeSwitch system for different | + | <p>We used fixed point analysis to predict the equilibrium state(s) of the ayeSwitch system for different parameters. Three or more fixed points will give us bistability and the possibility of switching. </p> |
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<h3><a href="https://2010.igem.org/Team:Aberdeen_Scotland/Bifurcation"><font color="blue">Bifucation</font></a></h3> | <h3><a href="https://2010.igem.org/Team:Aberdeen_Scotland/Bifurcation"><font color="blue">Bifucation</font></a></h3> | ||
Revision as of 17:40, 24 October 2010
University of Aberdeen - ayeSwitch
iGEM 2010
Introduction to the Modelling of the ayeSwitch
This page is an introduction to the different equations and techniques that we used to design and predict the behaviour of the ayeSwitch.
Equations
In this section we describe the process of developing a basic mathematical model for the ayeSwitch based on the promotion and inhibition behaviour necessary for mutual repression. We developed a set of four differential equations, one to model each of the two mRNAs and two proteins that are the active components of our system.
Fixed Points
We used fixed point analysis to predict the equilibrium state(s) of the ayeSwitch system for different parameters. Three or more fixed points will give us bistability and the possibility of switching.
