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

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

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-03-06
DOI
https://doi.org/10.1038/s41467-025-57136-7
Citations
10
Primary Topic
Pharmacological Receptor Mechanisms and Effects
Type
article
Field-Weighted Citation Impact
8.06

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Alexandros Makriyannis, Veronica Craik, Laurent Sabbagh, Yuki Shiimura et al.
10 citations
Nature Communications
Pharmacological Receptor Mechanisms and Effects
8.06
article

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

Alexandros Makriyannis, Veronica Craik, Laurent Sabbagh, Yuki Shiimura, Tia A. Tummino, Yurii S. Moroz, Allan I. Basbaum, Brian K. Shoichet, Herthana Kandasamy, Kaavya Krishna Kumar, Reed M. Stein, Fei Tong, Jorge Benitez, Dmytro S. Radchenko, John J. Irwin, Isabella Glenn, Ngan K. Tran, Meriem Semache, Evan S. O’Brien, Claire Normand, Karnika Bhardwaj, Thanh C. Ho, Sian Rodriguez Rosado, Yongfeng Liu, Fangyu Liu, Joao Bráz, Christos Iliopoulos‐Tsoutsouvas, Suthakar Ganapathy
article en
10 citations

Abstract

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

Nature CommunicationsVol. 16(1)
Kurume University (JP), University of North Carolina at Chapel Hill (US), Northeastern University (US), University of California, San Francisco (US), Taras Shevchenko National University of Kyiv (UA), Stanford Medicine (US), National Institute of Mental Health (US), Enamine (Ukraine) (UA), Stanford University (US)
Open Philanthropy Project, National Institutes of Health, Defense Advanced Research Projects Agency, National Institute of Mental Health
Openalex Percentile: Top 2%
Pharmacological Receptor Mechanisms and Effects
8.06
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.