Stronger computational modelling of signalling pathways using both continuous and discrete-state methods

  • Authors:
  • Muffy Calder;Adam Duguid;Stephen Gilmore;Jane Hillston

  • Affiliations:
  • Department of Computing Science, University of Glasgow, Glasgow, Scotland;Laboratory for Foundations of Computer Science, The University of Edinburgh, Edinburgh, Scotland;Laboratory for Foundations of Computer Science, The University of Edinburgh, Edinburgh, Scotland;Laboratory for Foundations of Computer Science, The University of Edinburgh, Edinburgh, Scotland

  • Venue:
  • CMSB'06 Proceedings of the 2006 international conference on Computational Methods in Systems Biology
  • Year:
  • 2006

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Abstract

Starting from a biochemical signalling pathway model expressed in a process algebra enriched with quantitative information we automatically derive both continuous-space and discrete-state representations suitable for numerical evaluation. We compare results obtained using implicit numerical differentiation formulae to those obtained using approximate stochastic simulation thereby exposing a flaw in the use of the differentiation procedure producing misleading results.