Integrated regulatory networks (IRNs): Spatially organized biochemical modules

  • Authors:
  • Jean-Louis Giavitto;Hanna Klaudel;Franck Pommereau

  • Affiliations:
  • IRCAM - UMR STMS 9912 CNRS, 4 place Igor Stravinsky, 75004 Paris, France;IBISC, University of Évry and Genopole, Tour Évry 2, 523 place des terrasses de lAgora, 91000 Évry, France;IBISC, University of Évry and Genopole, Tour Évry 2, 523 place des terrasses de lAgora, 91000 Évry, France

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2012
  • Spatial computing in MGS

    UCNC'12 Proceedings of the 11th international conference on Unconventional Computation and Natural Computation

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Abstract

In this paper, we aim at modeling and analyzing the regulation processes in multi-cellular biological systems, in particular, tissues. The modeling framework is a generalization of several existing formalisms. In particular, it can be seen as an extension of logical regulatory networks (a la Thomas) with information about cells' physical state and environment, e.g., their spatial relationships. The resulting formalisms, called integrated regulatory networks (IRNs) is equipped with a transition systems semantics that preserves the possibility of an enumerative and exhaustive state space exploration. This paper presents the modeling framework, its semantics, as well as a prototype implementation that allowed preliminary experiments on some applications related to biology.