The biological data regarding the signalling pathways often consider single pathways or a small number of them. We propose a methodology for composing this kind of data in a coherent framework, in order to be able to investigate a bigger number of signalling pathways. We specify a biological system by means of a set of stoichiometric-like equations resembling the essential features of molecular interactions. We represent these equations by a timed concurrent constraint (ntcc) language, which can deal with partial information and the time for a reaction to occur. We describe a freely available prototypical implementation of our framework.
D., C., Falaschi, M., C., O., C., P. (2010). Compositional modelling of signalling pathways in Timed Concurrent Constraint Programming. In BCB' 10: ACM International Conference on Bioinformatics and Computational Biology (pp.414-417). ACM [10.1145/1854776.1854843].
Compositional modelling of signalling pathways in Timed Concurrent Constraint Programming
FALASCHI, MORENO;
2010-01-01
Abstract
The biological data regarding the signalling pathways often consider single pathways or a small number of them. We propose a methodology for composing this kind of data in a coherent framework, in order to be able to investigate a bigger number of signalling pathways. We specify a biological system by means of a set of stoichiometric-like equations resembling the essential features of molecular interactions. We represent these equations by a timed concurrent constraint (ntcc) language, which can deal with partial information and the time for a reaction to occur. We describe a freely available prototypical implementation of our framework.
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https://hdl.handle.net/11365/39877
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