Article

BRAVE: a highly accurate method for predicting HIV-1 antibody resistance using large language models for proteins

2025-07-31

Abstract excerpt

<h4>Motivation</h4> Broadly neutralizing antibodies (bNAbs) that target the envelope glycoprotein (Env) of human immunodeficiency virus-1 (HIV-1) have been utilized in clinical trials aimed at preventing and treating HIV-1 infections. However, the emergence of neutralization resistance to bNAbs occurs rapidly due to the high mutation rate of HIV-1. Previous studies have suggested the use of in silico methods to...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: ab4b0738-bb4d-50c1-99a4-1c4a53414d90
DOI: 10.1101/2025.07.28.667234

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

BRAVE: a highly accurate method for predicting HIV-1 antibody resistance using large language models for proteinsDOI 10.1101/2025.07.28.667234Read

Accurate Prediction for Antibody Resistance of Clinical HIV-1 IsolatesSemantic proximity Read

Accurate Prediction of Antibody Resistance in Clinical HIV-1 IsolatesSemantic proximity Read

Protein language model embeddings improve HIV drug resistance prediction: a comprehensive benchmark with attention-based interpretability.Semantic proximity Read

Predicting the broadly neutralizing antibody susceptibility of the HIV reservoirSemantic proximity Read

AI recognizes convergent somatic hypermutation signatures to allow the discovery of variant-resilient broadly neutralizing antibodiesSemantic proximity Read

Learning patterns of HIV-1 co-resistance to broadly neutralizing antibodies with reduced subtype bias using multi-task learningSemantic proximity Read

Efficient evolution of human antibodies from general protein language models.Semantic proximity Read

Efficient evolution of human antibodies from general protein language models and sequence information aloneSemantic proximity Read

Novel antibody language model accelerates IgG screening and design for broad-spectrum antiviral therapySemantic proximity Read

Combining machine learning and iterative experiments to keep pace with emerging viral variants of concern.Semantic proximity Read

Sequence and structure based models of HIV-1 protease and reverse transcriptase drug resistance.Semantic proximity Read

A systematic evaluation of the language-of-viral-escape model using multiple machine learning frameworks.Semantic proximity Read