Integration of Computational Techniques for the Modelling of Signal Transduction

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dc.creatorPerez, Pedro Pablo Gonzalez
dc.creatorGarcia, Maura Cardenas
dc.creatorGershenson, Carlos
dc.creatorLagunez-Otero, Jaime
dc.date2002-11-22
dc.date.accessioned2026-07-07T03:19:02Z
dc.date.available2026-07-07T03:19:02Z
dc.descriptionA 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.
dc.description12 pages, In N.E. Mastorakis and L.A. Pecorelli-Peres (Eds.) Advances in Systems Science: Measurement, Circuits and Control. WSES Press
dc.identifierhttps://arxiv.org/abs/cs/0211030
dc.identifierhttp://arxiv.org/abs/cs/0211030
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/31355
dc.subjectMultiagent Systems
dc.subjectCell Behavior
dc.subjectJ.3
dc.titleIntegration of Computational Techniques for the Modelling of Signal Transduction
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