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Modelling intracellular signalling networks using behaviour-based systems and the blackboard architecture

2002/11/22 by Pedro Pablo González Pérez, Pedro Pablo Gonzalez Perez, Carlos Gershenson +8 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Cell Behavior (q-bio.CB) #Cellular Automata and Applications #FOS: Biological sciences #FOS: Computer and information sciences #Gene Regulatory Network Analysis #J.3 #Modular Robots and Swarm Intelligence #Multiagent Systems (cs.MA) #cs.MA #q-bio.CB

paper · pdf · doi:10.48550/arxiv.cs/0211029

7 pages, Proceedings of the International Conference: Mathematics and Computers in Biology and Chemistry (MCBC 2000), Montego Bay, Jamaica

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

Abstract

This paper proposes to model the intracellular signalling networks using a fusion of behaviour-based systems and the blackboard architecture. In virtue of this fusion, the model developed by us, which has been named Cellulat, allows to take account two essential aspects of the intracellular signalling networks: (1) the cognitive capabilities of certain types of networks' components and (2) the high level of spatial organization of these networks. A simple example of modelling of Ca2+ signalling pathways using Cellulat is presented here. An intracellular signalling virtual laboratory is being developed from Cellulat.

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