Toward a Random Background for Ligand Optimization
Xinyu Xu, Olivier Mailhot, G.J. Correy, XP Huang, Joao M. Braz, Da Shi, Karthik Srinivasan, Kara Zielinski, Yuliia Holota, Yuliia Kuziv, Christos Iliopoulos‐Tsoutsouvas, Nathan D. Levinzon, Yagmur Umay Doruk, Moira M. Rachman, Morgan E. Diolaiti, , Brian K. Shoichet
This study systematically evaluates the effectiveness of random small perturbations in ligand optimization, finding 11.2% of analogs improved potency by ≥10-fold but often had worse pharmacokinetics.
bioRxiv · May 13, 2026 · PreprintPharmacology & Toxicology