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Stochasticity and robustness in bi-stable systems

Zabet, Nicolae Radu and Chu, Dominique (2010) Stochasticity and robustness in bi-stable systems. In: 2010 4th International Conference on Bioinformatics and Biomedical Engineering. IEEE Xplore, pp. 182-196. ISBN 978-1-4244-4713-8. (doi:10.1109/ICBBE.2010.5518099) (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) (KAR id:30661)

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. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/ICBBE.2010.5518099

Abstract

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: Book section
DOI/Identification number: 10.1109/ICBBE.2010.5518099
Additional information: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5518099&isnumber=5514659
Uncontrolled keywords: determinacy analysis, Craig interpolants
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing > Computational Intelligence Group
Depositing User: Dominique Chu
Date Deposited: 21 Sep 2012 09:49 UTC
Last Modified: 06 Mar 2020 04:04 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/30661 (The current URI for this page, for reference purposes)
Chu, Dominique: https://orcid.org/0000-0002-3706-2905
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