Virtual library docking for cannabinoid-1 receptor agonists with reduced side effects.

针对副作用较小的 1 型大麻素受体激动剂的虚拟库对接

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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 (K(i) = 0.7 µM) leads to '1350, a 0.95 nM ligand and a full CB1R agonist of G(i/o) signaling. A cryo-EM structure of '1350 in complex with CB1R-G(i1) 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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