Evidence map›Paper›PMID 20617813›Full record

ArticleBiochemistry2010

Lessons from free energy simulations of delta-opioid receptor homodimers involving the fourth transmembrane helix.

Davide Provasi, Jennifer M Johnston, Marta Filizola

Abstract read
In one paragraph

Article in Biochemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Computational Modeling of Claudin Structure and Function.International journal of molecular sciences · 2020
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Molecular Pharmacology of δ-Opioid Receptors.Pharmacological reviews · 2016
    Review
  13. Article
  14. Computational approaches for modeling GPCR dimerization.Current pharmaceutical biotechnology · 2014
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Review
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.

Davide ProvasiDepartment of Structural and Chemical Biology, Mount Sinai School of Medicine, New York, New York 10029, USA.
Jennifer M Johnston
Marta Filizola

Funding

OPIOID RECEPTOR OLIGOMERIZATION: PREDICTION & VALIDATIONR01DA020032 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI FILIZOLA, MARTA · 2006 to 2010
$1.5M
Structural Aspects of Oligomerization in the Function of GPCRsK02DA026434 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FILIZOLA, MARTA · 2009 to 2018
$1.2M
NIDA NIH HHS DA020032NIDA NIH HHS DA026434NIDA NIH HHS R01 DA020032
6 · The paper itself

Abstract

Several G protein-coupled receptors (GPCRs), including opioid receptors deltaOR, muOR, and kappaOR, have been reported to form stable dimers or oligomers in lipid bilayers and cell membranes. This notion has been recently challenged by imaging data supporting a transient nature of GPCR association. Here we use umbrella sampling reconstructed free energies of deltaOR homodimers involving the fourth transmembrane helix to predict their association constant. The results of these simulations, combined with estimates of diffusion-limited association rates, suggest a short lifetime for deltaOR homodimers in the membrane, in agreement with recent trends.

Indexed as

Computer SimulationProtein MultimerizationThermodynamicsAnimalsDiffusionHalf-LifeHumansMembrane ProteinsProtein Structure, SecondaryReceptors, G-Protein-CoupledReceptors, Opioid, deltaMembrane ProteinsReceptors, G-Protein-CoupledReceptors, Opioid, delta

Identifiers

PMID20617813
PMCPMC2914489

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.