BindPred: A Framework for Predicting Protein-Protein Binding Affinity from Language Model Embeddings

Haixing Piao

doi:10.1093/bioinformatics/btag309

BindPred: A Framework for Predicting Protein-Protein Binding Affinity from Language Model Embeddings

2026-05-14

0

OA

AI

DOI：10.1093/bioinformatics/btag309

Original

Original request for help

Save

Abstract

En 中文

Reliable predictions of protein–protein binding affinities are essential for molecular biology and therapeutic discovery. However, most computational methods rely on three-dimensional structural models, which are often unavailable for many complexes.

Keywords:

Protein–protein binding affinity

Computational methods

Language model embeddings

Molecular biology

Therapeutic discovery

BindPred: A Framework for Predicting Protein-Protein Binding Affinity from Language Model Embeddings

Abstract

Journal

Organization