Software testing based on formal specifications: a theory and a tool
Software Engineering Journal
NuSMV 2: An OpenSource Tool for Symbolic Model Checking
CAV '02 Proceedings of the 14th International Conference on Computer Aided Verification
Modelling biochemical pathways through enhanced π-calculus
Theoretical Computer Science - Special issue: Computational systems biology
International Journal on Software Tools for Technology Transfer (STTT) - Special section on high-level test of complex systems
Necessary conditions for multistationarity in discrete dynamical systems
Discrete Applied Mathematics
Temporal constraints in the logical analysis of regulatory networks
Theoretical Computer Science
Qualitative Modeling and Simulation of Bacterial Regulatory Networks
CMSB '08 Proceedings of the 6th International Conference on Computational Methods in Systems Biology
A process model of Rho GTP-binding proteins
Theoretical Computer Science
A Reduction of Logical Regulatory Graphs Preserving Essential Dynamical Properties
CMSB '09 Proceedings of the 7th International Conference on Computational Methods in Systems Biology
CMSB'04 Proceedings of the 20 international conference on Computational Methods in Systems Biology
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Modelling activities in molecular biology face the difficulty of prediction to link molecular knowledge with cell phenotypes. Even when the interaction graph between molecules is known, the deduction of the cellular dynamics from this graph remains a strong corner stone of the modelling activity, in particular one has to face the parameter identification problem. This article is devoted to convince the reader that computers can be used not only to simulate a model of the studied biological system but also to deduce the sets of parameter values that lead to a behaviour compatible with the biological knowledge (or hypotheses) about dynamics. This approach is based on formal logic. It is illustrated in the discrete modelling framework of genetic regulatory networks due to René Thomas.