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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
10/11/2014 |
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Data da última atualização: |
13/11/2014 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CASTRO, A. de; FRONZA, C. F.; ANSELMO, J. |
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Afiliação: |
ALEXANDRE DE CASTRO, CNPTIA; CARLOS FREDERICO FRONZA, Fronza Engenharia Gestão E Desenvolvimento Tecnológico; JANIO ANSELMO, Fronza Engenharia Gestão E Desenvolvimento Tecnológico. |
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Título: |
Computational approach of the homeostatic turnover of memory B cells. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
International Journal of Engineering Research and Applications, Delhi, v. 4, n. 9, p. 117-130, Sept. 2014. |
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Idioma: |
Inglês |
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Conteúdo: |
In this paper, a discrete mathematical model inspired by control mechanisms is used to explore the factors potentially responsible for maximum immunization capacity in mammals. The results have been discussed in light of recent work, and refer to the adoption of parameter values chosen among data gathered from the literature. The model used in this study took into consideration that the immune system is a network of molecules and cells that can recognize itself. |
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Palavras-Chave: |
Células B; Equilíbrio homeostático; Homeostatic turnover; Immune memory; Memória imune. |
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Thesagro: |
Modelo matemático. |
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Thesaurus Nal: |
Mathematical models; Memory. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/111246/1/R4904117130.pdf
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Marc: |
LEADER 01207naa a2200241 a 4500
001 1999572
005 2014-11-13
008 2014 bl uuuu u00u1 u #d
100 1 $aCASTRO, A. de
245 $aComputational approach of the homeostatic turnover of memory B cells.$h[electronic resource]
260 $c2014
520 $aIn this paper, a discrete mathematical model inspired by control mechanisms is used to explore the factors potentially responsible for maximum immunization capacity in mammals. The results have been discussed in light of recent work, and refer to the adoption of parameter values chosen among data gathered from the literature. The model used in this study took into consideration that the immune system is a network of molecules and cells that can recognize itself.
650 $aMathematical models
650 $aMemory
650 $aModelo matemático
653 $aCélulas B
653 $aEquilíbrio homeostático
653 $aHomeostatic turnover
653 $aImmune memory
653 $aMemória imune
700 1 $aFRONZA, C. F.
700 1 $aANSELMO, J.
773 $tInternational Journal of Engineering Research and Applications, Delhi$gv. 4, n. 9, p. 117-130, Sept. 2014.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
