ArticlePloS one2013
Computational prediction of broadly neutralizing HIV-1 antibody epitopes from neutralization activity data.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed, 24 citations in OpenAlex.
- Multiple Mechanisms of HIV-1 Resistance to PGT135 in a Chinese Subtype B' Slow Progressor.Pathogens (Basel, Switzerland) · 2025Article
- A VRC13-like bNAb response is associated with complex escape pathways in HIV-1 envelope.Journal of virology · 2024Article
- Current methods for detecting and assessing HIV-1 antibody resistance.Frontiers in immunology · 2024Review
- GENERALIST: A latent space based generative model for protein sequence families.PLoS computational biology · 2023Article
- Unsupervised Bayesian Ising Approximation for decoding neural activity and other biological dictionaries.eLife · 2022Article
- Improved killing of HIV-infected cells using three neutralizing and non-neutralizing antibodies.The Journal of clinical investigation · 2020Article
- Vaccines and Broadly Neutralizing Antibodies for HIV-1 Prevention.Annual review of immunology · 2020Review
- Review
- Estimation of the breadth of CD4bs targeting HIV antibodies by molecular modeling and machine learning.PLoS computational biology · 2019Article
- Prediction of VRC01 neutralization sensitivity by HIV-1 gp160 sequence features.PLoS computational biology · 2019Article
- HIV-1 Neutralizing Antibody Signatures and Application to Epitope-Targeted Vaccine Design.Cell host & microbe · 2019Article
- Fine epitope signature of antibody neutralization breadth at the HIV-1 envelope CD4-binding site.JCI insight · 2018Article
- Prediction of HIV-1 sensitivity to broadly neutralizing antibodies shows a trend towards resistance over time.PLoS computational biology · 2017Article
- HIV-1 vaccine immunogen design strategies.Virology journal · 2015Review
- IDEPI: rapid prediction of HIV-1 antibody epitopes and other phenotypic features from sequence data using a flexible machine learning platform.PLoS computational biology · 2014Article
- NEP: web server for epitope prediction based on antibody neutralization of viral strains with diverse sequences.Nucleic acids research · 2014Article
- Article
- Could vaccination with AIDSVAX immunogens have resulted in antibody-dependent enhancement of HIV infection in human subjects?Human vaccines & immunotherapeutics · 2014Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Broadly neutralizing monoclonal antibodies effective against the majority of circulating isolates of HIV-1 have been isolated from a small number of infected individuals. Definition of the conformational epitopes on the HIV spike to which these antibodies bind is of great value in defining targets for vaccine and drug design. Drawing on techniques from compressed sensing and information theory, we developed a computational methodology to predict key residues constituting the conformational epitopes on the viral spike from cross-clade neutralization activity data. Our approach does not require the availability of structural information for either the antibody or antigen. Predictions of the conformational epitopes of ten broadly neutralizing HIV-1 antibodies are shown to be in good agreement with new and existing experimental data. Our findings suggest that our approach offers a means to accelerate epitope identification for diverse pathogenic antigens.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.