Open Access

ARTICLE

A Dynamical Modeling to Study the Adaptive Immune System and the Influence of Antibodiesin the Immune Memory

Alexandre de Castro^1,2, Carlos Frederico Fronza², Domingos Alves^2,3

1 Centro Nacional de Pesquisa Tecnológica em Informática para a Agricultura, Empresa Brasileirade Pesquisa Agropecuária (EMBRAPA), Campinas 13083-886, Brazil. Corresponding author.acastro@cnptia.embrapa.br.
2 Departamento de Informática em Saúde, Universidade Federal de São Paulo (UNIFESP), São Paulo 04023-062, Brazil.
3 Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo (USP), Ribeirão Preto14049-900, Brazil.

Computer Modeling in Engineering & Sciences 2009, 45(1), 83-96. https://doi.org/10.3970/cmes.2009.045.083

Abstract

Immunological systems have been an abundant inspiration to contemporary computer scientists. Problem solving strategies, stemming from known immune system phenomena, have been successfully applied to chall enging problems of modern computing. Simulation systems and mathematical modeling are also beginning use to answer more complex immunological questions as immune memory process and duration of vaccines, where the regulation mechanisms are not still known sufficiently (Lundegaard, Lund, Kesmir, Brunak, Nielsen, 2007). In this article we studiedin machinaa approach to simulate the process of antigenic mutation and its implications for the process of memory. Our results have suggested that the durability of the immune memory is affected by the process of antigenic mutation.and by populations of soluble antibodies in the blood. The results also strongly suggest that the decrease of the production of antibodies favors the global maintenance of immune memory.

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