Evidence map›Paper›PMID 34759375›Full record

ArticleNature structural & molecular biology2021

GPCR activation mechanisms across classes and macro/microscales.

Alexander S Hauser, Albert J Kooistra, Christian Munk, Franziska M Heydenreich, Dmitry B Veprintsev, Michel Bouvier, M Madan Babu, David E Gloriam

Abstract read
In one paragraph

Article in Nature structural & molecular biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 176 papers.

0numbers the graph read from it
0cells of the map it votes in
176citing 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

176 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article

116 more citing papers are in PubMed but not listed here.

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.

Alexander S Hauser *Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-1098-6419
Albert J Kooistra *Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-5514-6021
Christian MunkDepartment of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.
Franziska M HeydenreichDepartment of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-8049-4383
Dmitry B VeprintsevCentre of Membrane Proteins and Receptors (COMPARE), University of Nottingham, Nottingham, UK.
Michel BouvierDepartment of Biochemistry and Molecular Medicine, Institute for Research in Immunology and Cancer, Université de Montréal, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0003-1128-0100
M Madan BabuDepartment of Structural Biology and Center for Data Driven Discovery, St. Jude Children's Research Hospital, Memphis, TN, USA.ORCID http://orcid.org/0000-0003-0556-6196
David E GloriamDepartment of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark. david.gloriam@sund.ku.dk.ORCID http://orcid.org/0000-0002-4299-7561

Funding

CIHR FDN-148431Medical Research Council MC_U105185859
6 · The paper itself

Abstract

Two-thirds of human hormones and one-third of clinical drugs activate ~350 G-protein-coupled receptors (GPCR) belonging to four classes: A, B1, C and F. Whereas a model of activation has been described for class A, very little is known about the activation of the other classes, which differ by being activated by endogenous ligands bound mainly or entirely extracellularly. Here we show that, although they use the same structural scaffold and share several 'helix macroswitches', the GPCR classes differ in their 'residue microswitch' positions and contacts. We present molecular mechanistic maps of activation for each GPCR class and methods for contact analysis applicable for any functional determinants. This provides a superfamily residue-level rationale for conformational selection and allosteric communication by ligands and G proteins, laying the foundation for receptor-function studies and drugs with the desired modality.

Indexed as

Protein ConformationComputational BiologyDatabases, ProteinEnzyme ActivationHumansReceptors, G-Protein-CoupledSignal TransductionReceptors, G-Protein-Coupled

Identifiers

PMID34759375
PMCPMC8580822

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.