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Highly Accurate Structure-Based Prediction of HIV-1 Coreceptor Usage Suggests Intermolecular Interactions Driving Tropism.
Kieslich, Chris A; Tamamis, Phanourios; Guzman, Yannis A; Onel, Melis; Floudas, Christodoulos A.
Afiliação
  • Kieslich CA; Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, United States of America.
  • Tamamis P; Texas A&M Energy Institute, Texas A&M University, College Station, TX, United States of America.
  • Guzman YA; Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, United States of America.
  • Onel M; Texas A&M Energy Institute, Texas A&M University, College Station, TX, United States of America.
  • Floudas CA; Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, United States of America.
PLoS One ; 11(2): e0148974, 2016.
Article em En | MEDLINE | ID: mdl-26859389
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: HIV-1 / Receptores CCR5 / Receptores CXCR4 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: HIV-1 / Receptores CCR5 / Receptores CXCR4 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article