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HIResist: a database of HIV-1 resistance to broadly neutralizing antibodies.
Misra, Milind; Jeffy, Jeffy; Liao, Charis; Pickthorn, Stephanie; Wagh, Kshitij; Herschhorn, Alon.
Afiliação
  • Misra M; Division of Infectious Diseases and International Medicine, Department of Medicine, University of Minnesota, Minneapolis, MN 55455, United States.
  • Jeffy J; Division of Infectious Diseases and International Medicine, Department of Medicine, University of Minnesota, Minneapolis, MN 55455, United States.
  • Liao C; Division of Infectious Diseases and International Medicine, Department of Medicine, University of Minnesota, Minneapolis, MN 55455, United States.
  • Pickthorn S; Division of Infectious Diseases and International Medicine, Department of Medicine, University of Minnesota, Minneapolis, MN 55455, United States.
  • Wagh K; Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87545, United States.
  • Herschhorn A; Division of Infectious Diseases and International Medicine, Department of Medicine, University of Minnesota, Minneapolis, MN 55455, United States.
Bioinformatics ; 40(3)2024 Mar 04.
Article em En | MEDLINE | ID: mdl-38426331
ABSTRACT
MOTIVATION Changing the course of the human immunodeficiency virus type I (HIV-1) pandemic is a high public health priority with approximately 39 million people currently living with HIV-1 (PLWH) and about 1.5 million new infections annually worldwide. Broadly neutralizing antibodies (bnAbs) typically target highly conserved sites on the HIV-1 envelope glycoproteins (Envs), which mediate viral entry, and block the infection of diverse HIV-1 strains. But different mechanisms of HIV-1 resistance to bnAbs prevent robust application of bnAbs for therapeutic and preventive interventions.

RESULTS:

Here we report the development of a new database that provides data and computational tools to aid the discovery of resistant features and may assist in analysis of HIV-1 resistance to bnAbs. Bioinformatic tools allow identification of specific patterns in Env sequences of resistant strains and development of strategies to elucidate the mechanisms of HIV-1 escape; comparison of resistant and sensitive HIV-1 strains for each bnAb; identification of resistance and sensitivity signatures associated with specific bnAbs or groups of bnAbs; and visualization of antibody pairs on cross-sensitivity plots. The database has been designed with a particular focus on user-friendly and interactive interface. Our database is a valuable resource for the scientific community and provides opportunities to investigate patterns of HIV-1 resistance and to develop new approaches aimed to overcome HIV-1 resistance to bnAbs. AVAILABILITY AND IMPLEMENTATION HIResist is freely available at https//hiresist.ahc.umn.edu/.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções por HIV / HIV-1 Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções por HIV / HIV-1 Idioma: En Ano de publicação: 2024 Tipo de documento: Article