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

doi:10.1093/bioinformatics/btag309

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

2026-05-14

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DOI：10.1093/bioinformatics/btag309

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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

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