Evidence map›Paper›PMID 29188799›Full record

ArticleActa pharmacologica Sinica2018

Computational insights into the G-protein-biased activation and inactivation mechanisms of the μ opioid receptor.

Jian-Xin Cheng, Tao Cheng, Wei-Hua Li, Gui-Xia Liu, Wei-Liang Zhu, Yun Tang

Open access · bronzeAbstract read
In one paragraph

Article in Acta pharmacologica Sinica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

18 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Encoding mu-opioid receptor biased agonism with interaction fingerprints.Journal of computer-aided molecular design · 2021
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. The Mechanisms Involved in Morphine Addiction: An Overview.International journal of molecular sciences · 2019
    Review
  16. Review
  17. Review
  18. 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

6 authors at 3 institutions in 1 country.

Jian-Xin ChengShanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China.
Tao ChengShanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China.
Wei-Hua LiShanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China.
Gui-Xia LiuShanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China.
Wei-Liang ZhuDrug Discovery and Design Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Yun TangShanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China.
East China University of Science and Technology · CNChinese Academy of Sciences · CNShanghai Institute of Materia Medica · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The μ opioid receptor (OR), a member of the class A subfamily of G-protein coupled receptors (GPCRs), is a major target for the treatment of pain. G-protein biased μ-OR agonists promise to be developed as analgesics. Thus, TRV130, the first representative μ-OR ligand with G-protein bias, has entered into phase III clinical trials. To identify the detailed G-protein-biased activation and inactivation mechanisms of the μ-OR, we constructed five μ-OR systems that were in complexes with the G-protein-biased agonists TRV130 and BU72, the antagonists β-FNA and naltrexone, as well as the free receptor. We performed a series of conventional molecular dynamics simulations and analyses of G-protein-biased activation and inactivation mechanisms of μ-OR. Our results, together with previously reported mutation results, revealed the operating mode of the activation switch composed of residues W

Indexed as

AnimalsGTP-Binding ProteinsLigandsMiceMolecular Dynamics SimulationMorphinansNaltrexoneProtein BindingProtein ConformationPyrrolesReceptors, Opioid, muSpiro CompoundsThiophenesUreaWater((3-methoxythiophen-2-yl)methyl)((2-(9-(pyridin-2-yl)-6-oxaspiro(4.5)decan-9-yl)ethyl))aminebeta-funaltrexamineBU72 compoundGTP-Binding ProteinsLigandsMorphinansNaltrexonePyrrolesPZM21 compoundReceptors, Opioid, muSpiro CompoundsThiophenesUreaWater

Identifiers

PMID29188799
PMCPMC5758664
OpenAlexW2772244364

What OpenQuestion holds

Textmetadata
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.