Título:	A dynamical modeling to study the adaptive immune system and the influence of antibodies in the immune memory.
Autoria:	CASTRO, A. de FRONZA, C. F. ALVES, D.
Afiliação:	ALEXANDRE DE CASTRO, CNPTIA, UNIFESP; CARLOS FREDERICO FRONZA, UNIFESP; DOMINGOS ALVES, UNIFESP, FMRP/USP.
Ano de publicação:	2009
Referência:	Computer Modeling in Engineering & Sciences, Duluth, v. 45, n. 1, p. 83-96, 2009.
Conteúdo:	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 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.
Thesagro:	Simulação Imunização
NAL Thesaurus:	Immunologic memory Models
Palavras-chave:	Memória imunológica Anticorpos Células B Modelo computacional Modelo dinâmico Mutação antigênica Sistema imunológico adaptativo
Notas:	CMES 2009.
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (CNPTIA)