Article

Leveraging Unified Sequence-Structure Representations for Enhanced Protein Stability Prediction

2026-01-16

Abstract excerpt

Protein thermal stability, quantified by the change in Gibbs free energy (ΔΔG) upon mutation, is critical for drug design and enzyme engineering. Current multi-modal deep learning models, despite integrating sequence, often struggle with indirect information fusion and incomplete capture of sequence-structure interactions. We introduce ProStab-Former, addressing these limitations by establishing a unified sequence...

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Literature Corpus work: 27453400-3642-5a78-9ae6-f682d46dc357
DOI: 10.64898/2026.01.15.699740

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