Affiliation:
1. Oxford University, Oxford
Abstract
Probabilistic model checking is a formal verification framework for systems which exhibit stochastic behaviour. It has been successfully applied to a wide range of domains, including security and communication protocols, distributed algorithms and power management. In this paper 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 MAP (Mitogen-Activated Protein) Kinase cascade, we explain how biological pathways can be modelled in the probabilistic model checker PRISM and how this enables the analysis of a rich selection of quantitative properties.
Funder
Engineering and Physical Sciences Research Council
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference36 articles.
1. Model-checking continuous-time Markov chains
2. Model-checking algorithms for continuous-time markov chains
3. Modelling the influence of RKIP on the ERK signalling pathway using the stochastic process algebra PEPA;Calder M.;Trans. Computational Systems Biology,2006
4. Analysis of signalling pathways using continuous time Markov chains;Calder M.;Trans. Computational Systems Biology,2006
5. Automatic verification of finite-state concurrent systems using temporal logic specifications
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