Dataset Information

14-O-Heterocyclic-substituted naltrexone derivatives as non-peptide mu opioid receptor selective antagonists: design, synthesis, and biological studies.

ABSTRACT: Mu opioid receptor antagonists have clinical utility and are important research tools. To develop non-peptide and highly selective mu opioid receptor antagonist, a series of 14-O-heterocyclic-substituted naltrexone derivatives were designed, synthesized, and evaluated. These compounds showed subnanomolar-to-nanomolar binding affinity for the mu opioid receptor. Among them, compound 1 exhibited the highest selectivity for the mu opioid receptor over the delta and kappa receptors. These results implicated an alternative 'address' domain in the extracellular loops of the mu opioid receptor.

SUBMITTER: Li G

PROVIDER: S-EPMC2802822 | biostudies-literature | 2009 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

14-O-Heterocyclic-substituted naltrexone derivatives as non-peptide mu opioid receptor selective antagonists: design, synthesis, and biological studies.

Li Guo G Aschenbach Lindsey C K LC He Hengjun H Selley Dana E DE Zhang Yan Y

Bioorganic & medicinal chemistry letters 20081229 6

Mu opioid receptor antagonists have clinical utility and are important research tools. To develop non-peptide and highly selective mu opioid receptor antagonist, a series of 14-O-heterocyclic-substituted naltrexone derivatives were designed, synthesized, and evaluated. These compounds showed subnanomolar-to-nanomolar binding affinity for the mu opioid receptor. Among them, compound 1 exhibited the highest selectivity for the mu opioid receptor over the delta and kappa receptors. These results im ...[more]

PMID: 19217280

Similar Datasets

Project description:The dedifferentiation agent "reversine" [2-(4-morpholinoanilino)-N(6)-cyclohexyladenine 2] was found to be a moderately potent antagonist for the human A(3) adenosine receptor (AR) with a K(i) value of 0.66 microM. This result prompted an exploration of the structure-activity relationship of related derivatives, synthesized via sequential substitution of 6-chloro-2-fluoropurine with selected nucleophiles. Optimization of substituents at these two positions identified 2-(phenylamino)-N(6)-cyclohexyladenine (12), 2-(phenylamino)-N(6)-cycloheptyladenine (19), and 2-phenylamino-N(6)-endo-norbornyladenine (21) as potent A(3) AR ligands with K(i) values of 51, 42, and 37 nM, respectively, with 30-200-fold selectivity in comparison to A(1) and A(2A) ARs. The most selective A(3) AR antagonist (>200-fold) was 2-(phenyloxy)-N(6)-cyclohexyladenine (22). 9-Methylation of 12, but not 19, was well-tolerated in A(3) AR binding. Extension of the 2-phenylamino group to 2-benzyl- and 2-(2-phenylethylamino) reduced affinity. In the series of 2-(phenylamino), 2-(phenyloxy), and 2-(phenylthio) substitutions, the order of affinity at the A(3) AR was oxy > or = amino > thio. Selected derivatives, including reversine (K(B) value of 466 nM via Schild analysis), competitively antagonized the functional effects of a selective A(3) AR agonist, i.e., inhibition of forskolin-stimulated cAMP production in stably transfected Chinese hamster ovary (CHO) cells. These results are in agreement with other studies suggesting the presence of a lipophilic pocket in the AR binding site that is filled by moderately sized cycloalkyl rings at the N(6) position of both adenine and adenosine derivatives. Thus, the compound series reported herein comprise an important new series of selective A(3) AR antagonists. We were unable to reproduce the dedifferentiation effect of reversine, previously reported, or to demonstrate any connection between A(3) AR antagonist effects and dedifferentiation.

Dataset Information

14-O-Heterocyclic-substituted naltrexone derivatives as non-peptide mu opioid receptor selective antagonists: design, synthesis, and biological studies.

Publications

14-O-Heterocyclic-substituted naltrexone derivatives as non-peptide mu opioid receptor selective antagonists: design, synthesis, and biological studies.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets