Modelling the influence of RKIP on the ERK signalling pathway using the stochastic process algebra PEPA

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

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

  • Venue:
  • Transactions on Computational Systems Biology VII
  • Year:
  • 2006

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Abstract

This paper examines the influence of the Raf Kinase Inhibitor Protein (RKIP) on the Extracellular signal Regulated Kinase (ERK) signalling pathway [5] through modelling in a Markovian process algebra, PEPA [11]. Two models of the system are presented, a reagent-centric view and a pathway-centric view. The models capture functionality at the level of subpathway, rather than at a molecular level. Each model affords a different perspective of the pathway and analysis. We demonstrate the two models to be formally equivalent using the timing-aware bisimulation defined over PEPA models and discuss the biological significance.