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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
10/05/2012 |
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Data da última atualização: |
08/03/2018 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
CASTRO, A. de. |
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Afiliação: |
ALEXANDRE DE CASTRO, CNPTIA. |
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Título: |
An Ag-dependent approach based on adaptive mechanisms for investigating the regulation of the memory B cell reservoir. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: KANWAR, J. R. (Ed.). Recent advances in immunology to target cancer, inflammation and infections. Rijeka: InTech, 2012. cap 16, p. 423-444. |
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ISBN: |
978-953-51-0592-3 |
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DOI: |
10.5772/34629 |
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Idioma: |
Inglês |
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Conteúdo: |
In fact, it is well-known that the soluble antibody population is one of the essential mechanisms of immunological response regulation [23-25]. However, despite the pioneering work of Lagreca et al. (2001) in developing a coupled map for studying the behavior of the mammalian immune system, their model did not consider these populations [1-6], which makes the model incomplete with respect to the regulation of the immune response by adaptive mechanisms. This omission opens up the possibility of extending their work by taking the soluble antibody populations into account. We have performed that work and present our immunological modeling and simulation findings in this paper. |
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Palavras-Chave: |
Células B; Modelo dinâmico; Simulação dinâmica. |
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Thesagro: |
Modelo de Simulação; Modelo Matemático. |
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Thesaurus Nal: |
Dynamic models; Mathematical models; Simulation models. |
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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/59161/1/cell.pdf
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Marc: |
LEADER 01531naa a2200241 a 4500
001 1924382
005 2018-03-08
008 2012 bl uuuu u00u1 u #d
020 $a978-953-51-0592-3
024 7 $a10.5772/34629$2DOI
100 1 $aCASTRO, A. de
245 $aAn Ag-dependent approach based on adaptive mechanisms for investigating the regulation of the memory B cell reservoir.$h[electronic resource]
260 $c2012
520 $aIn fact, it is well-known that the soluble antibody population is one of the essential mechanisms of immunological response regulation [23-25]. However, despite the pioneering work of Lagreca et al. (2001) in developing a coupled map for studying the behavior of the mammalian immune system, their model did not consider these populations [1-6], which makes the model incomplete with respect to the regulation of the immune response by adaptive mechanisms. This omission opens up the possibility of extending their work by taking the soluble antibody populations into account. We have performed that work and present our immunological modeling and simulation findings in this paper.
650 $aDynamic models
650 $aMathematical models
650 $aSimulation models
650 $aModelo de Simulação
650 $aModelo Matemático
653 $aCélulas B
653 $aModelo dinâmico
653 $aSimulação dinâmica
773 $tIn: KANWAR, J. R. (Ed.). Recent advances in immunology to target cancer, inflammation and infections. Rijeka: InTech, 2012. cap 16, p. 423-444.
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Embrapa Agricultura Digital (CNPTIA) |
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