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arXiv · 1705.08327

A dynamical modeling to study the adaptive immune system and the influence of antibodies in the immune memory

Alexandre de Castro·Carlos Frederico Fronza·Domingos Alves
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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 challenging problems of modern computing (MONROY, SAAB, GODINEZ, 2004). 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 studied in machina a 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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Alexandre de Castro, Carlos Frederico Fronza, Domingos Alves. 2017-05-19. A dynamical modeling to study the adaptive immune system and the influence of antibodies in the immune memory. https://doi.org/10.3970/cmes.2009.045.083

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