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Simulation of immune system response to bacterial challenge

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Resumo(s)

Immune system (IS) simulations have several applications, such as biological theory testing or as a complement in the development of improved drugs. This paper presents an agent based approach to simulate the IS response to bacterial infection challenge. The agent simulator is implemented in a discrete time and twodimensional space, and composed by two layers: a) a specialized cellular automata responsible for substance di usion and reactions; and b) the layer where agents move, act and interact. The IS model focuses upon low level cellular receptor interactions, receptor diversity and genetic-ruled agents, aiming to observe and study the resultant emergent behavior. The model reproduces the following IS behavioral characteristics: speci city and specialization, immune memory and vaccine immunization.

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Modelling Simulation Agents Immune System

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Citação

Fachada, N.; Lopes, Vitor V.; Rosa, Agostinho. Simulation of immune system response to bacterial challenge. In: ESM 2008 - European Simulation and Modelling, Université du Havre, Le Havre, France, October 27-29, 2008, p. 252-257

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