Rule-Based modeling of transcriptional attenuation at the tryptophan operon

  • Authors:
  • Céline Kuttler;Cédric Lhoussaine;Mirabelle Nebut

  • Affiliations:
  • University of Lille;University of Lille;University of Lille

  • Venue:
  • Transactions on Computational Systems Biology XII
  • Year:
  • 2010
  • Biochemical reaction rules with constraints

    ESOP'11/ETAPS'11 Proceedings of the 20th European conference on Programming languages and systems: part of the joint European conferences on theory and practice of software

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Abstract

Transcriptional attenuation at E.coli's tryptophan operon is a prime example of RNA-mediated gene regulation. In this paper, we present a discrete stochastic model of the fine-grained control of attenuation, based on chemical reactions. Stochastic simulation of our model confirms results that were previously obtained by master or differential equations. Our approach is easier to understand than master equations, although mathematically well founded. It is compact due to rule schemas that define finite sets of chemical reactions. Object-centered languages based on the π-calculus would yield less intelligible models. Such languages are confined to binary interactions, whereas our model heavily relies on reaction rules with more than two reactants, in order to concisely capture the control of attenuation.