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Dynamics-aware geometric learning predicts disease-associated molecular perturbations

2026-08-20

Abstract excerpt

Missense mutations and post-translational modifications (PTMs) are major molecular perturbations that reshape protein function but are traditionally studied independently. Current computational approaches largely rely on sequence conservation or static structural features, limiting our understanding of how perturbations alter intrinsic protein dynamics. We present DynGeo-Pheno, a unified geometric deep learning fr...

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Literature Corpus work
d56bd6f7-113c-5905-8d75-bf844eb4414b
DOI
10.64898/2026.08.17.745323
Open publication

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Dynamics-aware geometric learning predicts disease-associated molecular perturbationsDOI 10.64898/2026.08.17.745323
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