In silico approach for viral mutations and sustainability of immunizations.

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dc.contributorALEXANDRE DE CASTRO, CNPTIA.
dc.creatorCASTRO, A. de
dc.date2015-12-01T11:11:11Z
dc.date2015-12-01T11:11:11Z
dc.date2015-12-01
dc.date2015
dc.date2016-02-24T11:11:11Z
dc.date.accessioned2026-07-07T04:14:21Z
dc.descriptionIn this paper we use virtual samples of individuals and a dynamical modeling proposed in a previous study to study the behavior of immune memory against antigenic mutation.
dc.identifierInternational Journal of Engineering Research and Applications, Delhi, v. 5, n. 11, p. 29-32, Nov. 2015.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1030086
dc.identifier.urihttp://hdl.handle.net/123456789/455062
dc.languageeng
dc.rightsopenAccess
dc.subjectMemória imunológica
dc.subjectImunologia computacional
dc.subjectEstocasticidade
dc.subjectMutação viral
dc.subjectCélulas B
dc.subjectImmune memory
dc.subjectComputational immunology
dc.subjectViral mutation
dc.subjectStochasticity
dc.subjectB cells
dc.subjectImunologia
dc.subjectMutação
dc.subjectVacina
dc.subjectImmunology
dc.subjectImmunologic memory
dc.subjectMutation
dc.subjectStochastic processes
dc.subjectVaccines
dc.titleIn silico approach for viral mutations and sustainability of immunizations.
dc.typeArtigo de periódico

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