A compositional approach to performance modelling
A compositional approach to performance modelling
Information Processing Letters
Model Checking Continuous-Time Markov Chains by Transient Analysis
CAV '00 Proceedings of the 12th International Conference on Computer Aided Verification
Verifying Continuous Time Markov Chains
CAV '96 Proceedings of the 8th International Conference on Computer Aided Verification
Probabilistic symbolic model checking with PRISM: a hybrid approach
International Journal on Software Tools for Technology Transfer (STTT) - Special section on tools and algorithms for the construction and analysis of systems
Probabilistic model checking in practice: case studies with PRISM
ACM SIGMETRICS Performance Evaluation Review
Analysis of signalling pathways using continuous time markov chains
Transactions on Computational Systems Biology VI
PRISM: a tool for automatic verification of probabilistic systems
TACAS'06 Proceedings of the 12th international conference on Tools and Algorithms for the Construction and Analysis of Systems
Simulation and verification for computational modelling of signalling pathways
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Quantitative verification: models techniques and tools
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
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Probabilistic model checking of complex biological pathways
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Quantitative analysis of biochemical signalling pathways
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Theoretical Computer Science
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CMSB '08 Proceedings of the 6th International Conference on Computational Methods in Systems Biology
Modelling Intracellular Fate of FGF Receptors With BioAmbients
Electronic Notes in Theoretical Computer Science (ENTCS)
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Theoretical Computer Science
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From Biochemistry to Stochastic Processes
Electronic Notes in Theoretical Computer Science (ENTCS)
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From model-checking to temporal logic constraint solving
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PaCT'07 Proceedings of the 9th international conference on Parallel Computing Technologies
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CAV'13 Proceedings of the 25th international conference on Computer Aided Verification
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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.