Stochasticity and robustness in bi-stable systems

Zabet, Nicolae Radu and Chu, Dominique (2010) Stochasticity and robustness in bi-stable systems. In: Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on , June 18-20, Chengdu. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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The genetic bi-stable switch (toggle switch) consists of two genes which repress one another through their synthesised proteins. In the stochastic bi-stable case, the toggle switch exhibits noise induced flips. Using simulation based techniques, we identified three methods for reducing the random flipping probability, namely: (i) increasing the system size, (ii) increasing the synthesis rate, and (iii) increasing the Hill coefficient. Our heat-maps showed that for large parts of parameter space the toggle switch displays extremely low noise induced flipping probability, and consequently high robustness. We also analysed the noise analytically. The area of validity of the analytical approach was found to be constrained to low Hill coefficients and high synthesis rate (both conditions within biological realistic parameters). Most importantly, we observed that increasing the synthesis rate is more efficient in reducing the noise compared to the increase in system size, for systems affected by negative feedback.

Item Type: Conference or workshop item (Paper)
Additional information:
Uncontrolled keywords: determinacy analysis, Craig interpolants
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Computational Intelligence Group
Depositing User: Dominique Chu
Date Deposited: 21 Sep 2012 09:49
Last Modified: 06 Dec 2013 13:25
Resource URI: (The current URI for this page, for reference purposes)
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