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Quantitative Verification Techniques for Biological Processes

  • Marta KwiatkowskaEmail author
  • Gethin Norman
  • David Parker
Chapter
Part of the Natural Computing Series book series (NCS)

Abstract

Probabilistic model checking is a formal verification framework for systems which exhibit stochastic behavior. It has been successfully applied to a wide range of domains, including security and communication protocols, distributed algorithms and power management. In this chapter, we demonstrate its applicability to the analysis of biological pathways and show how it can yield a better understanding of the dynamics of these systems. Through a case study of the Mitogen-Activated Protein (MAP), Kinase cascade, we explain how biological pathways can be modeled in the probabilistic model checker PRISM and how this enables the analysis of a rich selection of quantitative properties.

Keywords

Model Check Temporal Logic MAPK Cascade Atomic Proposition Symmetry Reduction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Marta Kwiatkowska
    • 1
    Email author
  • Gethin Norman
    • 1
  • David Parker
    • 1
  1. 1.Oxford University Computing LaboratoryOxfordUK

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