Evidence map›Paper›PMID 31010663›Full record

ArticleBiophysical journal2019

Interfacial Binding Sites for Cholesterol on G Protein-Coupled Receptors.

Anthony G Lee

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

30 citing papers in PubMed, 43 citations in OpenAlex.

  1. Molecular mechanisms of Kir channel gating.Biochemical Society transactions · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. The Role of Cholesterol in M2 Clustering and Viral Budding Explained.Journal of chemical theory and computation · 2025
    Article
  6. Journal of medicinal chemistry · 2024
    Review
  7. Article
  8. Article
  9. Impact of aging on the GABAbioRxiv : the preprint server for biology · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Cholesterol in GPCR Structures: Prevalence and Relevance.The Journal of membrane biology · 2022
    Article
  17. Review
  18. Review
  19. Article
  20. 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

1 author at 1 institution in 1 country.

Anthony G LeeSchool of Biological Sciences, University of Southampton, Southampton, United Kingdom. Electronic address: agl@soton.ac.uk.
University of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A docking procedure is described that allows the transmembrane surface of a G protein-coupled receptor (GPCR) to be swept rapidly for potential binding sites for cholesterol at the bilayer interfaces on the two sides of the membrane. The procedure matches 89% of the cholesterols resolved in published GPCR crystal structures, when cholesterols likely to be crystal packing artifacts are excluded. Docking poses are shown to form distinct clusters on the protein surface, the clusters corresponding to "greasy hollows" between protein ridges. Docking poses depend on the angle of tilt of the GPCR in the surrounding lipid bilayer. It is suggested that thermal motion could alter the optimal binding pose for a cholesterol molecule, with the range of binding poses within a cluster providing a guide to the range of thermal motions likely for a cholesterol within a binding site.

Indexed as

Binding SitesCholesterolCrystallography, X-RayMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingProtein ConformationReceptors, G-Protein-CoupledCholesterolReceptors, G-Protein-Coupled

Identifiers

PMID31010663
PMCPMC6506644
OpenAlexW2926661588

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.