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HIResist: a database of HIV-1 resistance to broadly neutralizing antibodies.

Publication ,  Journal Article
Misra, M; Jeffy, J; Liao, C; Pickthorn, S; Wagh, K; Herschhorn, A
Published in: Bioinformatics
March 4, 2024

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/.

Duke Scholars

Published In

Bioinformatics

DOI

EISSN

1367-4811

Publication Date

March 4, 2024

Volume

40

Issue

3

Location

England

Related Subject Headings

  • env Gene Products, Human Immunodeficiency Virus
  • Humans
  • HIV-1
  • HIV Infections
  • HIV Antibodies
  • Epitopes
  • Broadly Neutralizing Antibodies
  • Bioinformatics
  • Antibodies, Neutralizing
  • 49 Mathematical sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Misra, M., Jeffy, J., Liao, C., Pickthorn, S., Wagh, K., & Herschhorn, A. (2024). HIResist: a database of HIV-1 resistance to broadly neutralizing antibodies. Bioinformatics, 40(3). https://doi.org/10.1093/bioinformatics/btae103
Misra, Milind, Jeffy Jeffy, Charis Liao, Stephanie Pickthorn, Kshitij Wagh, and Alon Herschhorn. “HIResist: a database of HIV-1 resistance to broadly neutralizing antibodies.Bioinformatics 40, no. 3 (March 4, 2024). https://doi.org/10.1093/bioinformatics/btae103.
Misra M, Jeffy J, Liao C, Pickthorn S, Wagh K, Herschhorn A. HIResist: a database of HIV-1 resistance to broadly neutralizing antibodies. Bioinformatics. 2024 Mar 4;40(3).
Misra, Milind, et al. “HIResist: a database of HIV-1 resistance to broadly neutralizing antibodies.Bioinformatics, vol. 40, no. 3, Mar. 2024. Pubmed, doi:10.1093/bioinformatics/btae103.
Misra M, Jeffy J, Liao C, Pickthorn S, Wagh K, Herschhorn A. HIResist: a database of HIV-1 resistance to broadly neutralizing antibodies. Bioinformatics. 2024 Mar 4;40(3).

Published In

Bioinformatics

DOI

EISSN

1367-4811

Publication Date

March 4, 2024

Volume

40

Issue

3

Location

England

Related Subject Headings

  • env Gene Products, Human Immunodeficiency Virus
  • Humans
  • HIV-1
  • HIV Infections
  • HIV Antibodies
  • Epitopes
  • Broadly Neutralizing Antibodies
  • Bioinformatics
  • Antibodies, Neutralizing
  • 49 Mathematical sciences