Evidence map›Paper›PMID 24144240›Full record

ArticleJournal of medicinal chemistry2013

Design, synthesis, and biological evaluation of 14-heteroaromatic-substituted naltrexone derivatives: pharmacological profile switch from mu opioid receptor selectivity to mu/kappa opioid receptor dual selectivity.

Yunyun Yuan, Saheem A Zaidi, Orgil Elbegdorj, Lindsey C K Aschenbach, Guo Li, David L Stevens, Krista L Scoggins, William L Dewey, Dana E Selley, Yan Zhang

Abstract read
In one paragraph

Article in Journal of medicinal chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Structural Modification and Development ofJournal of medicinal chemistry · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yunyun YuanDepartment of Medicinal Chemistry, Virginia Commonwealth University , 800 East Leigh Street, Richmond, Virginia 23298, United States.
Saheem A Zaidi
Orgil Elbegdorj
Lindsey C K Aschenbach
Guo Li
David L Stevens
Krista L Scoggins
William L Dewey
Dana E Selley
Yan Zhang

Funding

Non-peptide Mu Opioid Receptor Selective AntagonistsR01DA024022 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI ZHANG, YAN · 2009 to 2019
$3.5M
NIDA NIH HHS DA024022NIDA NIH HHS R01 DA024022
6 · The paper itself

Abstract

On the basis of a mu opioid receptor (MOR) homology model and the isosterism concept, three generations of 14-heteroaromatically substituted naltrexone derivatives were designed, synthesized, and evaluated as potential MOR-selective ligands. The first-generation ligands appeared to be MOR-selective, whereas the second and the third generation ones showed MOR/kappa opioid receptor (KOR) dual selectivity. Docking of ligands 2 (MOR selective) and 10 (MOR/KOR dual selective) to the three opioid receptor crystal structures revealed a nonconserved-residue-facilitated hydrogen-bonding network that could be responsible for their distinctive selectivity profiles. The MOR/KOR dual-selective ligand 10 showed no agonism and acted as a potent antagonist in the tail-flick assay. It also produced less severe opioid withdrawal symptoms than naloxone in morphine-dependent mice. In conclusion, ligand 10 may serve as a novel lead compound to develop MOR/KOR dual-selective ligands, which might possess unique therapeutic value for opioid addiction treatment.

Indexed as

Drug DesignAnimalsBehavior, AnimalChemistry Techniques, SyntheticCHO CellsCricetinaeCricetulusMaleMiceModels, MolecularNaltrexoneProtein ConformationReceptors, Opioid, kappaReceptors, Opioid, muSubstrate SpecificityNaltrexoneReceptors, Opioid, kappaReceptors, Opioid, mu

Identifiers

PMID24144240
PMCPMC4373589

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.