AI RESEARCH
TriFit: Trimodal Fusion with Protein Dynamics for Mutation Fitness Prediction
arXiv CS.LG
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ArXi:2604.12026v1 Announce Type: new Predicting the functional impact of single amino acid substitutions (SAVs) is central to understanding genetic disease and engineering therapeutic proteins. While protein language models and structure-based methods have achieved strong performance on this task, they systematically neglect protein dynamics; residue flexibility, correlated motions, and allosteric coupling are well-established determinants of mutational tolerance in structural biology, yet have not been incorporated into supervised variant effect predictors.