Design Issues for Qualitative Modelling of Biological Cells with Petri Nets

  • Authors:
  • Elzbieta Krepska;Nicola Bonzanni;Anton Feenstra;Wan Fokkink;Thilo Kielmann;Henri Bal;Jaap Heringa

  • Affiliations:
  • Department of Computer Science, Vrije Universiteit, Amsterdam, The Netherlands 1081 HV;Department of Computer Science, Vrije Universiteit, Amsterdam, The Netherlands 1081 HV;Department of Computer Science, Vrije Universiteit, Amsterdam, The Netherlands 1081 HV;Department of Computer Science, Vrije Universiteit, Amsterdam, The Netherlands 1081 HV;Department of Computer Science, Vrije Universiteit, Amsterdam, The Netherlands 1081 HV;Department of Computer Science, Vrije Universiteit, Amsterdam, The Netherlands 1081 HV;Department of Computer Science, Vrije Universiteit, Amsterdam, The Netherlands 1081 HV

  • Venue:
  • FMSB '08 Proceedings of the 1st international workshop on Formal Methods in Systems Biology
  • Year:
  • 2008

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Abstract

Petri nets are a widely used formalism to qualitatively model concurrent systems such as a biological cell. We present techniques for modelling biological processes as Petri nets for further analyses and in-silico experiments. Instead of extending the formalism with ,,colours" or rates, as is most often done, we focus on preserving the simplicity of the formalism and developing an execution semantics which resembles biology --- we apply a principle of maximal parallelism and introduce the novel concept of bounded execution with overshooting. A number of modelling solutions are demonstrated using the example of the well-studied C. elegansvulval development process. To date our model is still under development, but first results, based on Monte Carlo simulations, are promising.