A stochastic model of gene regulation using the chemical master equation

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

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    5 Citations (Scopus)

    Abstract

    The chemical master equation in combination with chemical rate equations is used as a tool to study Markovian models of genetic regulatory networks in prokaryotes. States of the master equation represent the binding and unbinding of protein complexes to DNA, resulting in a gene being expressed or not expressed in a cell, while protein and substrate concentrations are represented by continuum variables which evolve via differential equations. The model is applied to a moderately complex biological system, the switching mechanism of the Bacteriophage driven by competition between production of CI and Cro proteins. Numerical simulations of the model successfully move between lysogenic and lytic states as the host bacterium is stressed by the application of ultraviolet light.

    Original languageEnglish
    Title of host publicationModeling and Simulation in Science, Engineering and Technology
    PublisherSpringer Basel
    Pages71-81
    Number of pages11
    DOIs
    Publication statusPublished - 2007

    Publication series

    NameModeling and Simulation in Science, Engineering and Technology
    Volume38
    ISSN (Print)2164-3679
    ISSN (Electronic)2164-3725

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