Projects per year
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. Finally, we outline a number of exact and approximate techniques to enable the verification of larger and more complex pathways and apply several of them to the FGF case study. (C) 2007 Elsevier B.V. All rights reserved.
Original language | English |
---|---|
Pages (from-to) | 239-257 |
Number of pages | 19 |
Journal | Theoretical Computer Science |
Volume | 391 |
Issue number | 3 |
DOIs | |
Publication status | Published - 14 Feb 2008 |
Fingerprint
Dive into the research topics of 'Probabilistic model checking of complex biological pathways'. Together they form a unique fingerprint.Projects
- 2 Finished
-
Automated quantitative software verification with PRISM
Kwiatkowska, M. (Principal Investigator)
Engineering & Physical Science Research Council
1/01/07 → 31/03/10
Project: Research Councils
-
UbiVal: Fundamental Approaches to Validation of Ubiquitous Computing Applications and Infrastructures
Ryan, M. (Principal Investigator), Ghica, D. (Co-Investigator) & Kwiatkowska, M. (Co-Investigator)
Engineering & Physical Science Research Council
1/10/06 → 31/03/10
Project: Research Councils