2002/11/22 by Pedro Pablo González Pérez, Pedro Pablo Gonzalez Perez, Perez, Pedro Pablo Gonzalez +8
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Behavior (q-bio.CB) #DNA and Biological Computing #Embedded Systems Design Techniques #FOS: Biological sciences #FOS: Computer and information sciences #J.3 #Multiagent Systems (cs.MA) #Neural Networks and Applications #cs.MA #q-bio.CB
paper · pdf · doi:10.48550/arxiv.cs/0211030
12 pages, In N.E. Mastorakis and L.A. Pecorelli-Peres (Eds.) Advances in Systems Science: Measurement, Circuits and Control. WSES Press
arxiv created 2002/11/22 · openalex publication_date 2002/11/22 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.