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How Much Does Protein Structure Really Help? A Case Study in Mutation-Induced Stability Prediction

2025-12-24

Abstract excerpt

Multimodal neural networks integrating protein language models (PLMs) with structure-derived features are increasingly common for predicting mutation effects, yet fundamental mechanisms remain poorly characterized. In this paper, we articulate and address two key questions: (i) do these architectures exploit mutation-conditioned structural changes, and (ii) does structure provide additive value over PLM-learned se...

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Literature Corpus work
d7a1a2be-220b-5244-8c3b-2f4c36d99cfe
DOI
10.64898/2025.12.22.694225
Open publication

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How Much Does Protein Structure Really Help? A Case Study in Mutation-Induced Stability PredictionDOI 10.64898/2025.12.22.694225
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