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G-SPRI: A Structure-Centric Graph Model for Comprehensive Prediction of Cancer Driver Events from Missense Mutations

2026-05-11

Abstract excerpt

<h4>ABSTRACT</h4> In silico approaches for predicting the functional impact of missense mutations are critical for interpreting personal genomes and identifying disease-related biomarkers. Existing methods largely rely on sequence-based information or intuitive structural features, but often overlook the complex biophysical patterns encoded in protein 3D structures. Here, we present G-SPRI, a multilevel framework...

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Literature Corpus work
208ea005-7096-58fd-a528-f517ae45ff7b
DOI
10.64898/2026.05.06.723398
Open publication

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G-SPRI: A Structure-Centric Graph Model for Comprehensive Prediction of Cancer Driver Events from Missense MutationsDOI 10.64898/2026.05.06.723398
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