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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
29/06/2009 |
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Data da última atualização: |
15/01/2020 |
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Autoria: |
CASTRO, A. de. |
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Afiliação: |
ALEXANDRE DE CASTRO, UERGS, UFRGS. |
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Título: |
A network model for clonal differentiation and immune memory. |
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Ano de publicação: |
2005 |
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Fonte/Imprenta: |
Physica A: statistical mechanics and its applications, Amsterdam, v. 355, n. 2-4, p. 408-426, Sept. 2005. |
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DOI: |
http://dx.doi.org/10.1016/j.physa.2005.03.036 |
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Idioma: |
Inglês |
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Conteúdo: |
A model of bit-strings, that uses the technique of multi-spin coding, was previously used to study the time evolution of B-cell clone repertoire, in a paper by Lagreca, Almeida and Santos. In this work we extend that simplified model to include independently the role of the populations of antibodies, in the control of the immune response, producing mechanisms of differentiation and regulation in a more complete way. Although the antibodies have the same molecular shape of the B-cells receptors (BCR), they should present a different time evolution and thus should be treated separately. We have also studied a possible model for the network immune memory, suggesting a random memory regeneration, which is self-perpetuating. |
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Palavras-Chave: |
Antibodies evolution; Diferenciação clonal; Evolução de anticorpos; Memória imunológica; Memory regenerating; Modelagem computacional; Modelo de bit-strings; Regeneração de memória. |
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Thesaurus Nal: |
Immunologic memory; Models. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01578naa a2200253 a 4500
001 1082796
005 2020-01-15
008 2005 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1016/j.physa.2005.03.036$2DOI
100 1 $aCASTRO, A. de
245 $aA network model for clonal differentiation and immune memory.$h[electronic resource]
260 $c2005
520 $aA model of bit-strings, that uses the technique of multi-spin coding, was previously used to study the time evolution of B-cell clone repertoire, in a paper by Lagreca, Almeida and Santos. In this work we extend that simplified model to include independently the role of the populations of antibodies, in the control of the immune response, producing mechanisms of differentiation and regulation in a more complete way. Although the antibodies have the same molecular shape of the B-cells receptors (BCR), they should present a different time evolution and thus should be treated separately. We have also studied a possible model for the network immune memory, suggesting a random memory regeneration, which is self-perpetuating.
650 $aImmunologic memory
650 $aModels
653 $aAntibodies evolution
653 $aDiferenciação clonal
653 $aEvolução de anticorpos
653 $aMemória imunológica
653 $aMemory regenerating
653 $aModelagem computacional
653 $aModelo de bit-strings
653 $aRegeneração de memória
773 $tPhysica A: statistical mechanics and its applications, Amsterdam$gv. 355, n. 2-4, p. 408-426, Sept. 2005.
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