Back

Structure-based discovery of cannabinoid-1 receptor agonists with reduced side effects

Tummino, T. A.; Iliopoulos-Tsoutsouvas, C.; Braz, J. M.; O'Brien, E. S.; Stein, R. M.; Craik, V.; Tran, N. K.; Ganapathy, S.; Shiimura, Y.; Tong, F.; Ho, T. C.; Radchenko, D. S.; Moroz, Y. S.; Liu, F.; Rosado, S. R.; Bhardwaj, K.; Benitez, J.; Liu, Y.; Kandasamy, H.; Normand, C.; Semache, M.; Sabbagh, L.; Glenn, I.; Irwin, J. J.; Kumar, K. K.; Makriyannis, A.; Basbaum, A. I.; Shoichet, B. K.

2023-03-03 pharmacology and toxicology
10.1101/2023.02.27.530254 bioRxiv
Show abstract

Large library docking can reveal unexpected chemotypes that complement the structures of biological targets. Seeking new agonists for the cannabinoid-1 receptor (CB1R), we docked 74 million tangible molecules, prioritizing 46 high ranking ones for de novo synthesis and testing. Nine were active by radioligand competition, a 20% hit-rate. Structure-based optimization of one of the most potent of these (Ki = 0.7 {micro}M) led to 4042, a 1.9 nM ligand and a full CB1R agonist. A cryo-EM structure of the purified enantiomer of 4042 ( 1350) in complex with CB1R-Gi1 confirmed its docked pose. The new agonist was strongly analgesic, with generally a 5-10-fold therapeutic window over sedation and catalepsy and no observable conditioned place preference. These findings suggest that new cannabinoid chemotypes may disentangle characteristic cannabinoid side-effects from their analgesia, supporting the further development of cannabinoids as pain therapeutics.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.