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CMSB
2006
Springer

Probabilistic Model Checking of Complex Biological Pathways

10 years 5 months ago
Probabilistic Model Checking of Complex Biological Pathways
Abstract. Probabilistic model checking is a formal verification technique that has been successfully applied to the analysis of systems from a broad range of domains, including security and communication protocols, distributed algorithms and power management. In this paper we illustrate its applicability to a complex biological system: the FGF (Fibroblast Growth Factor) signalling pathway. We give a detailed description of how this case study can be modelled in the probabilistic model checker PRISM, discussing some of the issues that arise in doing so, and show how we can thus examine a rich selection of quantitative properties of this model. We present experimental results for the case study under several different scenarios and provide a detailed analysis, illustrating how this approach can be used to yield a better understanding of the dynamics of the pathway.
John Heath, Marta Z. Kwiatkowska, Gethin Norman, D
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where CMSB
Authors John Heath, Marta Z. Kwiatkowska, Gethin Norman, David Parker, Oksana Tymchyshyn
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