Probabilistic model checking of complex biological pathways

Heath, J., Kwiatkowska, M., Norman, G. , Parker, D. and Tymchyshyn, O. (2006) Probabilistic model checking of complex biological pathways. In: Computational Methods in Systems Biology (CMSB'06), Trento, Italy, October 18-19, 2006, pp. 32-47.

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.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Norman, Dr Gethin
• Authors: Heath, J., Kwiatkowska, M., Norman, G., Parker, D., and Tymchyshyn, O.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science; Q Science > QH Natural history > QH301 Biology
• College/School: College of Science and Engineering > School of Computing Science
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher