Integration of Computational Techniques for the Modelling of Signal Transduction

Details Integration of Computational Techniques for the Modelling of Signal Transduction Integration of Computational Techniques for the Modelling of Signal Transduction

2002-11-22

arxiv.org/abs/cs/0211030v1

Computer Science

Multiagent Systems

12 pages, In N.E. Mastorakis and L.A. Pecorelli-Peres (Eds.) Advances in Systems Science: Measurement, Circuits and Control. W

Scientific paper

A cell can be seen as an adaptive autonomous agent or as a society of adaptive autonomous agents, where each can exhibit a particular behaviour depending on its cognitive capabilities. We present an intracellular signalling model obtained by integrating several computational techniques into an agent-based paradigm. Cellulat, the model, takes into account two essential aspects of the intracellular signalling networks: cognitive capacities and a spatial organization. Exemplifying the functionality of the system by modelling the EGFR signalling pathway, we discuss the methodology as well as the purposes of an intracellular signalling virtual laboratory, presently under development.

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