Zaifei Yang, Weiyu Chen, Yaqing Wang, James Kwok
This paper investigates whether experience from prior protein-ligand optimization runs can transfer to new pockets via a memory base using edit history and context as keys. It finds that while specific pocket identities improve separation of good vs. bad edits, coarse descriptions of edits and molecular changes transfer better than target-specific features, suggesting memory is more useful for prioritizing agent-generated proposals than prescribing exact molecules.
The findings guide the design of agentic drug discovery systems by showing that experience reuse is most effective when focusing on generalizable edit patterns rather than target-specific knowledge, enabling more efficient exploration in unseen protein pockets.
Thank you to arXiv for use of its open access interoperability. arxiv.org. aibrief.ai is not affiliated with or endorsed by arXiv.