A stochastic model of gene switches

Lucia Santoso; Hilary S. Booth; Conrad J. Burden; Markus Hegland

A stochastic model of gene switches

Lucia Santoso^*, Hilary S. Booth, Conrad J. Burden, Markus Hegland

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

We present a stochastic model of genetic regulation where the expression of genes are controlled by protein levels. In particular, we examine a genetic toggle switch with two competing proteins where one protein switches off the other gene. We model this switching behaviour in the framework of the Stochastic Master Equation (SME), which is a continuous time variant of a Markov model used in chemical systems. Thus far, the SME is mainly solved by stochastic simulation due to the perceived high computational demands. We explore approximation techniques which allow the numerical solution of the SME to be tractable.

Original language	English
Pages (from-to)	C530-C543
Journal	ANZIAM Journal
Volume	46
Issue number	5 ELECTRONIC SUPPL.
Publication status	Published - 2004

Cite this

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abstract = "We present a stochastic model of genetic regulation where the expression of genes are controlled by protein levels. In particular, we examine a genetic toggle switch with two competing proteins where one protein switches off the other gene. We model this switching behaviour in the framework of the Stochastic Master Equation (SME), which is a continuous time variant of a Markov model used in chemical systems. Thus far, the SME is mainly solved by stochastic simulation due to the perceived high computational demands. We explore approximation techniques which allow the numerical solution of the SME to be tractable.",

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AU - Santoso, Lucia

AU - Booth, Hilary S.

AU - Burden, Conrad J.

AU - Hegland, Markus

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N2 - We present a stochastic model of genetic regulation where the expression of genes are controlled by protein levels. In particular, we examine a genetic toggle switch with two competing proteins where one protein switches off the other gene. We model this switching behaviour in the framework of the Stochastic Master Equation (SME), which is a continuous time variant of a Markov model used in chemical systems. Thus far, the SME is mainly solved by stochastic simulation due to the perceived high computational demands. We explore approximation techniques which allow the numerical solution of the SME to be tractable.

AB - We present a stochastic model of genetic regulation where the expression of genes are controlled by protein levels. In particular, we examine a genetic toggle switch with two competing proteins where one protein switches off the other gene. We model this switching behaviour in the framework of the Stochastic Master Equation (SME), which is a continuous time variant of a Markov model used in chemical systems. Thus far, the SME is mainly solved by stochastic simulation due to the perceived high computational demands. We explore approximation techniques which allow the numerical solution of the SME to be tractable.

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M3 - Article

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JO - ANZIAM Journal

JF - ANZIAM Journal

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A stochastic model of gene switches

Abstract

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