对接(动物)
大麻素
大麻素受体2型
大麻素受体
虚拟筛选
受体
药理学
计算机科学
化学
计算生物学
药物发现
生物信息学
兴奋剂
医学
生物
生物化学
护理部
作者
Tia A. Tummino,Christos Iliopoulos‐Tsoutsouvas,Joao Bráz,Evan S. O’Brien,Reed M. Stein,Veronica Craik,Ngan K. Tran,Suthakar Ganapathy,Fangyu Liu,Yuki Shiimura,Fei Tong,Thanh C. Ho,Dmytro S. Radchenko,Yurii S. Moroz,Sian Rodriguez Rosado,Karnika Bhardwaj,Jorge Benitez,Yongfeng Liu,Herthana Kandasamy,Claire Normand
标识
DOI:10.1038/s41467-025-57136-7
摘要
Virtual library docking can reveal unexpected chemotypes that complement the structures of biological targets. Seeking agonists for the cannabinoid-1 receptor (CB1R), we dock 74 million tangible molecules and prioritize 46 high ranking ones for de novo synthesis and testing. Nine are active by radioligand competition, a 20% hit-rate. Structure-based optimization of one of the most potent of these (Ki = 0.7 µM) leads to '1350, a 0.95 nM ligand and a full CB1R agonist of Gi/o signaling. A cryo-EM structure of '1350 in complex with CB1R-Gi1 confirms its predicted docked pose. The lead agonist is strongly analgesic in male mice, with a 2-20-fold therapeutic window over hypolocomotion, sedation, and catalepsy and no observable conditioned place preference. These findings suggest that unique cannabinoid chemotypes may disentangle characteristic cannabinoid side-effects from analgesia, supporting the further development of cannabinoids as pain therapeutics.
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