Algorithm for identification of piecewise smooth hybrid systems: application to eukaryotic cell cycle regulation

  • Authors:
  • Vincent Noel;Sergei Vakulenko;Ovidiu Radulescu

  • Affiliations:
  • Université de Rennes 1, CNRS, UMR, IRMAR, Rennes, France and Université de Montpellier 2, DIMNP, Montpellier Cedex 5, France;Institute of Print, St. Petersburg, Russia;Université de Montpellier 2, DIMNP, Montpellier Cedex 5, France and INRIA Rennes Bretagne Atlantique, Rennes, France

  • Venue:
  • WABI'11 Proceedings of the 11th international conference on Algorithms in bioinformatics
  • Year:
  • 2011

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Abstract

We discuss piecewise smooth hybrid systems as models for regulatory networks in molecular biology. These systems involve both continuous and discrete variables. The discrete variables allow to switch on and off some of the molecular interactions in the model of the biological system. Piecewise smooth hybrid models are well adapted to approximate the dynamics of multiscale dissipative systems that occur in molecular biology. We show how to produce such models by a top down approach that use biological knowledge for a guided choice of important variables and interactions. Then we propose an algorithm for fitting parameters of the piecewise smooth models from data. We illustrate some of the possibilities of this approach by proposing hybrid versions of eukaryotic cell cycle regulation.