arXiv AI By Zaifei Yang, Weiyu Chen, Yaqing Wang, James Kwok

What Transfers Across Protein Pockets? Experience Reuse in Molecular Optimization for Agentic Structure-Based Drug Design

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The paper investigates whether experience gained by large‑language‑model agents during molecular optimization in one protein pocket can be transferred to new, unseen pockets. By logging every edit and docking step, the authors build an experience base keyed on contact sites, the edit action, and the round, and find that this key sharply distinguishes improving from worsening edits. However, transfer is limited: only coarse, non‑specific descriptors of the edit and resulting molecule provide useful signals, while pocket‑specific information is largely irrelevant for predicting success.

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