Article

Learning residue-level context for modeling protein-protein interactions

2026-06-04

Abstract excerpt

Protein language models (PLMs) enable prediction of protein properties by learning residue-level features from sequence, yet most PLM-based approaches to protein-protein interactions aggregate information across entire proteins, limiting resolution and interpretability. Here we present ReCLIP, a transformer-based framework that learns interaction-specific representations at the level of individual residues by comb...

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Literature Corpus work: 1ee2ab1d-4a30-5231-a287-f44552fef4b1
DOI: 10.64898/2026.06.01.729118

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