Evidence map›Paper›PMID 23415745›Full record

ArticleEuropean journal of pharmacology2013

Ligand interaction, binding site and G protein activation of the mu opioid receptor.

Xu Cui, Alexei Yeliseev, Renyu Liu

Abstract read
In one paragraph

Article in European journal of pharmacology, 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
1.5field-weighted citation impact, top 18% 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

17 citing papers in PubMed, 35 citations in OpenAlex.

  1. Indole Alkaloids as Biased Opioid Receptor Modulators.Pharmaceuticals (Basel, Switzerland) · 2026
    Review
  2. Total synthesis and biological activity of "carbamorphine": O-to-CHProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Opioid Receptors and Protonation-Coupled Binding of Opioid Drugs.International journal of molecular sciences · 2021
    Review
  4. Article
  5. Article
  6. Ketamine Metabolite (2ACS chemical neuroscience · 2021
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Water Soluble G-protein Coupled Receptor Enabled Biosensors.Translational perioperative and pain medicine · 2019
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

3 authors at 3 institutions in 2 countries.

Xu CuiDepartment of Anesthesiology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Alexei Yeliseev
Renyu Liu
Capital Medical University · CNNational Institutes of Health · USUniversity of Pennsylvania · US

Funding

NMR Investigations Of Cell Membrane StructureZIAAA000003 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GAWRISCH, KLAUS · 2009 to 2020
$23.2M
Structural Approaches for Understanding Opioid and ??-Receptor InteractionsK08GM093115 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI LIU, RENYU · 2010 to 2013
$505k
Intramural NIH HHSNIGMS NIH HHS K08 GM093115NIGMS NIH HHS K08-GM-093115-01
6 · The paper itself

Abstract

With the recently solved crystal structure of the murine mu opioid receptor, the elucidation of the structure function relationships of the human mu receptor becomes feasible. In this study, we analyzed the available structural information along with ligand binding and G protein activation of human mu receptor. Affinity determinations were performed in a HEK293 cell line stably transfected with the human mu opioid receptor for 6 different agonists (morphine, DMAGO, and herkinorn) and antagonists (naloxone, beta-Funaltrexamine, and Norbinaltorphimine). G protein activation was investigated in membrane preparations containing human mu receptors treated with the agonist, partial agonist, or antagonist compounds. 4DKL.pdb was utilized for structural analysis and docking calculations for 28 mu receptor ligands. The predicted affinities from docking were compared with those experimentally determined. While all known ligands bind to the receptor through the same binding site that is large enough to accommodate molecules of various sizes, interaction with D147 (D149 in human mu receptor) is essential for binding. No distinguishable interaction pattern in the binding site for agonist, partial agonist, or antagonist to predict pharmacological activities was found. The failure to reconcile the predicted affinities from docking with experimental values indicates that the receptor might undergo significant conformational changes from one state to the other states upon different ligand binding. A simplified model to understand the complicated system is proposed and further study on these multiple conformations using high resolution structural approaches is suggested.

Indexed as

Analgesics, OpioidBinding SitesGTP-Binding ProteinsHEK293 CellsHumansLigandsMolecular Docking SimulationNarcotic AntagonistsReceptors, Opioid, muAnalgesics, OpioidGTP-Binding ProteinsLigandsNarcotic AntagonistsReceptors, Opioid, mu

Identifiers

PMID23415745
PMCPMC3608745
OpenAlexW2078125827

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.