Validation of qualitative models of genetic regulatory networks by model checking: analysis of the nutritional stress response in Escherichia coli

  • Authors:
  • Grégory Batt;Delphine Ropers;Hidde De Jong;Johannes Geiselmann;Radu Mateescu;Michel Page;Dominique Schneider

  • Affiliations:
  • INRIA Rhône-Alpes Montbonnot, France;INRIA Rhône-Alpes Montbonnot, France;INRIA Rhône-Alpes Montbonnot, France;Laboratoire Adaptation et Pathogénie des Microorganismes, CNRS UMR 5163, Université Joseph Fourier Grenoble, France;INRIA Rhône-Alpes Montbonnot, France;INRIA Rhône-Alpes Montbonnot, France;Laboratoire Adaptation et Pathogénie des Microorganismes, CNRS UMR 5163, Université Joseph Fourier Grenoble, France

  • Venue:
  • Bioinformatics
  • Year:
  • 2005

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Abstract

Motivation: The modeling and simulation of genetic regulatory networks have created the need for tools for model validation. The main challenges of model validation are the achievement of a match between the precision of model predictions and experimental data, as well as the efficient and reliable comparison of the predictions and observations. Results: We present an approach towards the validation of models of genetic regulatory networks addressing the above challenges. It combines a method for qualitative modeling and simulation with techniques for model checking, and is supported by a new version of the computer tool Genetic Network Analyzer (GNA). The model-validation approach has been applied to the analysis of the network controlling the nutritional stress response in Escherichia coli. Availability: GNA and the model of the stress response network are available at http://www-helix.inrialpes.fr/gna Contact: Hidde.de-Jong@inrialpes.fr