Evidence map›Paper›PMID 22078567›Full record

ArticleStructure (London, England : 1993)2011

Structural basis for μ-opioid receptor binding and activation.

Adrian W R Serohijos, Shuangye Yin, Feng Ding, Josee Gauthier, Dustin G Gibson, William Maixner, Nikolay V Dokholyan, Luda Diatchenko

Open access · bronzeAbstract read
In one paragraph

Article in Structure (London, England : 1993), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
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

16 citing papers in PubMed, 36 citations in OpenAlex.

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  11. μ-Opioid receptor 6-transmembrane isoform: A potential therapeutic target for new effective opioids.Progress in neuro-psychopharmacology & biological psychiatry · 2015
    Review
  12. Review
  13. Article
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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

8 authors at 1 institution in 1 country.

Adrian W R SerohijosBiochemistry and Biophysics Department, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Shuangye Yin
Feng Ding
Josee Gauthier
Dustin G Gibson
William Maixner
Nikolay V Dokholyan
Luda Diatchenko
University of North Carolina at Chapel Hill · US

Funding

Risk Factors for Onset and Persistence of TMDU01DE017018 · NIDCR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DIATCHENKO, LUDA, FILLINGIM, ROGER B · 2005 to 2016
$35.9M
Vulvar Vestibulitis syndrome (VVS)P01NS045685 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ESSICK, GREGORY KENT · 2004 to 2014
$12.5M
Sex-Related Genetic Influences on Pain and AnalgesiaR01NS041670 · NINDS · UNIVERSITY OF FLORIDA · PI FILLINGIM, ROGER B · 2000 to 2009
$4.4M
Protein Misfolding and AggregationR01GM080742 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DOKHOLYAN, NIKOLAY · 2007 to 2015
$2.8M
COMT &betaAR Polymorphism &Development of Painful TMDR01DE016558 · NIDCR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DIATCHENKO, LUDA · 2005 to 2009
$1.7M
Development of a Novel Class for Opioid DrugsR41DA032293 · NIDA · ALGYNOMICS, INC. · PI DIATCHENKO, LUDA, DOKHOLYAN, NIKOLAY · 2012 to 2013
$657k
NIDA NIH HHS R41 DA032293NIDCR NIH HHS R01 DE016558NIDCR NIH HHS R01-DE16558NIDCR NIH HHS U01 DE017018NIDCR NIH HHS UO1-DE017018NIGMS NIH HHS 3R01GM080742-03S1NIGMS NIH HHS R01 GM080742NIGMS NIH HHS R01GM080742NINDS NIH HHS NS045685NINDS NIH HHS P01 NS045685NINDS NIH HHS R01 NS041670
6 · The paper itself

Abstract

Opioids that stimulate the μ-opioid receptor (MOR1) are the most frequently prescribed and effective analgesics. Here we present a structural model of MOR1. Molecular dynamics simulations show a ligand-dependent increase in the conformational flexibility of the third intracellular loop that couples with the G protein complex. These simulations likewise identified residues that form frequent contacts with ligands. We validated the binding residues using site-directed mutagenesis coupled with radioligand binding and functional assays. The model was used to blindly screen a library of ∼1.2 million compounds. From the 34 compounds predicted to be strong binders, the top three candidates were examined using biochemical assays. One compound showed high efficacy and potency. Post hoc testing revealed this compound to be nalmefene, a potent clinically used antagonist, thus further validating the model. In summary, the MOR1 model provides a tool for elucidating the structural mechanism of ligand-initiated cell signaling and for screening novel analgesics.

Indexed as

Molecular Dynamics SimulationAmino Acid SubstitutionAnimalsBinding, CompetitiveBinding SitesCattleCyclic AMPDatabases, FactualDecapodiformesDiprenorphineDose-Response Relationship, DrugHEK293 CellsHumansMorphineMutagenesis, Site-DirectedNaltrexoneCyclic AMPDiprenorphineMorphinenalmefeneNaltrexoneOPRM1 protein, humanReceptors, Opioid, muSmall Molecule Libraries

Identifiers

PMID22078567
PMCPMC3217204
OpenAlexW2103515617

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.