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Graph attention with structural features improves the generalizability of identifying functional sequences at a protein interface

2025-11-10

Abstract excerpt

Accurate prediction of the set of sequences compatible with a protein-protein interface is an unsolved problem in biology. While supervised sequence-based models trained directly on experimental data can predict variant effects, they often fail to generalize to significantly diverged sequences. We hypothesized that incorporating information from deep learning models of proteins (e.g., ESM, ProteinMPNN) could enhan...

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Identifiers and source

Literature Corpus work
8b7186b1-69bd-5062-96a9-3a31e5f208d0
DOI
10.1101/2025.11.04.686550
Open publication

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Graph attention with structural features improves the generalizability of identifying functional sequences at a protein interfaceDOI 10.1101/2025.11.04.686550
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