Evidence map›Paper›PMID 21788135›Full record

ArticleBioorganic & medicinal chemistry letters2011

Structure selectivity relationship studies of 17-cyclopropylmethyl-3,14β-dihydroxy-4,5α-epoxy-6β-[(4'-pyridyl)carboxamido]morphinan derivatives toward the development of the mu opioid receptor antagonists.

Yunyun Yuan, Orgil Elbegdorj, Jianyang Chen, Shashidhar K Akubathini, Irina O Beletskaya, Dana E Selley, Yan Zhang

Abstract read
In one paragraph

Article in Bioorganic & medicinal chemistry letters, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Machine Learned Classification of Ligand Intrinsic Activities at HumanbioRxiv : the preprint server for biology · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Novel 6β-acylaminomorphinans with analgesic activity.European journal of medicinal chemistry · 2013
    Article
  10. Article
  11. Article
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  13. Article
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

7 authors.

Yunyun YuanDepartment of Medicinal Chemistry, Virginia Commonwealth University, Biotech I, 800 E. Leigh Street, Richmond, VA 23298, United States.
Orgil Elbegdorj
Jianyang Chen
Shashidhar K Akubathini
Irina O Beletskaya
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

Mu opioid receptor antagonists have been applied to target a variety of diseases clinically. The current study is designed to explore the structure selectivity relationship (SSR) of 17-cyclopropylmethyl-3,14β-dihydroxy-4,5α-epoxy-6β-[(4'-pyridyl)carboxamido]morphinan (NAP), a lead compound identified as a selective mu opioid receptor antagonist based on the previous study. Among a series of NAP derivatives synthesized, compounds 6 (NMP) and 9 (NGP) maintained comparable binding affinity, selectivity and efficacy to the lead compound. Particularly, the mu opioid receptor selectivity over kappa opioid receptor of NGP was considerably enhanced compared to that of NAP. Overall, the preliminary SSR supported our original hypothesis that an alternate 'address' domain may exist in the mu opioid receptor, which favors the ligands carrying a hydrogen bond acceptor and an aromatic system to selectively recognize the mu opioid receptor.

Indexed as

AnimalsCHO CellsCricetinaeCricetulusDose-Response Relationship, DrugDrug DesignLigandsMolecular StructureMorphinansReceptors, Opioid, muStereoisomerismStructure-Activity RelationshipLigandsMorphinansReceptors, Opioid, mu

Identifiers

PMID21788135
PMCPMC3171173

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Registered trials

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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.