Computational Modelling of Kinase Signalling Cascades

  • David GilbertEmail author
  • Monika Heiner
  • Rainer Breitling
  • Richard Orton
Part of the Methods in Molecular Biology book series (MIMB, volume 661)


In this chapter, we describe general methods used to create dynamic computational models of kinase signalling cascades, and tools to support this activity. We focus on the ordinary differential equation models, and show how these fit into a general framework of qualitative and quantitative (stochastic and continuous) models. The modelling we describe is part of the activity of BioModel engineering which provides a systematic approach for designing, constructing, and analyzing computational models of biological systems.

Key words

Computational modelling Ordinary differential equations Continuous Petri nets 


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Copyright information

© Springer Science+Business Meida, LLC 2010

Authors and Affiliations

  • David Gilbert
    • 1
    Email author
  • Monika Heiner
    • 2
  • Rainer Breitling
    • 3
  • Richard Orton
    • 4
  1. 1.School of Information Science, Computing and MathematicsBrunel UniversityUxbridgeUK
  2. 2.Department of Computer ScienceBrandenburg University of TechnologyCottbusGermany
  3. 3.Groningen Bioinformatics Centre, Groningen Biomolecular Sciences and Biotechnology InstituteUniversity of GroningenHarenThe Netherlands
  4. 4.Institute of Comparative Medicine, Faculty of Veterinary MedicineUniversity of GlasgowGlasgowUK

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