arXiv: cs.AI preprintsInternational6 November 2026
Structure-aware Reinforcement Learning for Protein Directed Evolution
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arXiv:2609.39048v2 Announce Type: replace-cross Abstract: Protein optimization remains a longstanding goal in life sciences. Existing machine learning-assisted directed evolution (MLDE) methods primarily rely on sequence-only features, overlooking the critical spatial constraints and co-evolutionary interactions encoded in protein structures. However, directly integrating structural information remains challenging due to the scarcity of reliable mutant structures. To address these issues, we propose StructEvo, a novel structure-aware reinforcement learning framework for protein directed evolut
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