0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessFatty acid amide hydrolase (FAAH) degrades neuromodulating fatty acid amides including anandamide (endogenous cannabinoid agonist) and oleamide (sleep-inducing lipid) at their sites of action and is intimately involved in their regulation. Herein we report the discovery of a potent, selective, and efficacious class of reversible FAAH inhibitors that produce analgesia in animal models validating a new therapeutic target for pain intervention. Key to the useful inhibitor discovery was the routine implementation of a proteomics-wide selectivity screen against the serine hydrolase superfamily ensuring selectivity for FAAH coupled with systematic in vivo examinations of candidate inhibitors.
Dale L. Boger, Hiroshi Miyauchi, Wu Du, Christophe Hardouin, Robert Fecik, Heng Cheng, Inkyu Hwang, Michael P. Hedrick, Donmienne Leung, Orlando Acevedo, Cristiano R. W. Guimarães, William L. Jorgensen, Benjamin F. Cravatt (2004). Discovery of a Potent, Selective, and Efficacious Class of Reversible α-Ketoheterocycle Inhibitors of Fatty Acid Amide Hydrolase Effective as Analgesics. Journal of Medicinal Chemistry, 48(6), pp. 1849-1856, DOI: 10.1021/jm049614v.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2004
Authors
13
Datasets
0
Total Files
0
Language
English
Journal
Journal of Medicinal Chemistry
DOI
10.1021/jm049614v
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access