Mapping multivalued onto Boolean dynamics.

J Theor Biol

Institut de Mathématiques de Luminy, Marseille, France.

Published: February 2011

AI Article Synopsis

  • The paper investigates René Thomas's generalized logical framework for representing regulatory networks through graph theory, where nodes represent genes and edges indicate regulatory relationships.
  • It highlights that while Boolean variables are typically sufficient for representing gene expression levels, there are cases that require multivalued variables, but most existing analysis tools focus only on the Boolean framework.
  • The authors formally demonstrate that a specific mapping from multivalued to Boolean variables, proposed by P. Van Ham, is the only effective way to maintain the integrity of regulatory structures and their dynamics in these models.

Article Abstract

This paper deals with the generalized logical framework defined by René Thomas in the 70's to qualitatively represent the dynamics of regulatory networks. In this formalism, a regulatory network is represented as a graph, where nodes denote regulatory components (basically genes) and edges denote regulations between these components. Discrete variables are associated to regulatory components accounting for their levels of expression. In most cases, Boolean variables are enough, but some situations may require further values. Despite this fact, the majority of tools dedicated to the analysis of logical models are restricted to the Boolean case. A formal Boolean mapping of multivalued logical models is a natural way of extending the applicability of these tools. Three decades ago, a multivalued to Boolean variable mapping was proposed by P. Van Ham. Since then, all works related to multivalued logical models and using a Boolean representation rely on this particular mapping. We formally show in this paper that this mapping is actually the sole, up to cosmetic changes, that could preserve the regulatory structures of the underlying graphs as well as their dynamical behaviours.

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Source
http://dx.doi.org/10.1016/j.jtbi.2010.09.017DOI Listing

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