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Detecting and understanding genetic and structural features in HIV-1 B subtype V3 underlying HIV-1 co-receptor usage.
Chen, Mengjie; Svicher, Valentina; Artese, Anna; Costa, Giosuè; Alteri, Claudia; Ortuso, Francesco; Parrotta, Lucia; Liu, Yang; Liu, Chang; Perno, Carlo Federico; Alcaro, Stefano; Zhang, Jing.
Afiliación
  • Chen M; Program of Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA.
Bioinformatics ; 29(4): 451-60, 2013 Feb 15.
Article en En | MEDLINE | ID: mdl-23297034
ABSTRACT
MOTIVATION To define V3 genetic elements and structural features underlying different HIV-1 co-receptor usage in vivo.

RESULTS:

By probabilistically modeling mutations in the viruses isolated from HIV-1 B subtype patients, we present a unique statistical procedure that would first identify V3 determinants associated with the usage of different co-receptors cooperatively or independently, and then delineate the complicated interactions among mutations functioning cooperatively. We built a model based on dual usage of CXCR4 and CCR5 co-receptors. The molecular basis of our statistical predictions is further confirmed by phenotypic and molecular modeling analyses. Our results provide new insights on molecular basis of different HIV-1 co-receptor usage. This is critical to optimize the use of genotypic tropism testing in clinical practice and to obtain molecular-implication for design of vaccine and new entry-inhibitors.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteína gp120 de Envoltorio del VIH / Receptores CCR5 / Receptores CXCR4 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2013 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteína gp120 de Envoltorio del VIH / Receptores CCR5 / Receptores CXCR4 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2013 Tipo del documento: Article País de afiliación: Estados Unidos