Evidence map›Paper›PMID 32079767›Full record

ArticleScience (New York, N.Y.)2020

Molecular mechanism of biased signaling in a prototypical G protein-coupled receptor.

Carl-Mikael Suomivuori, Naomi R Latorraca, Laura M Wingler, Stephan Eismann, Matthew C King, Alissa L W Kleinhenz, Meredith A Skiba, Dean P Staus, Andrew C Kruse, Robert J Lefkowitz and 1 more

Open access · greenAbstract read
In one paragraph

Article in Science (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed
13.6field-weighted citation impact, top 1% 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

141 citing papers in PubMed, 239 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Structural Basis of GPCR-Biased Modulation.Handbook of experimental pharmacology · 2026
    Review
  8. Review
  9. Structural insights into the G-protein subtype selectivity revealed by human sphingosine-1-phosphate receptor 3-GProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. Biased signalingActa pharmaceutica Sinica. B · 2025
    Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

81 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

11 authors at 3 institutions in 1 country.

Carl-Mikael Suomivuori *Department of Computer Science, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-2445-8791
Naomi R Latorraca *Department of Computer Science, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-8310-8708
Laura M WinglerHoward Hughes Medical Institute, Duke University Medical Center, Durham, NC 27710, USA.ORCID 0000-0002-3688-5088
Stephan EismannDepartment of Computer Science, Stanford University, Stanford, CA 94305, USA.
Matthew C KingDepartment of Computer Science, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-9966-5528
Alissa L W KleinhenzHoward Hughes Medical Institute, Duke University Medical Center, Durham, NC 27710, USA.ORCID 0000-0001-5871-8216
Meredith A SkibaDepartment of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0003-4615-6775
Dean P StausHoward Hughes Medical Institute, Duke University Medical Center, Durham, NC 27710, USA.
Andrew C KruseDepartment of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-1467-1222
Robert J LefkowitzHoward Hughes Medical Institute, Duke University Medical Center, Durham, NC 27710, USA.ORCID 0000-0003-1472-7545
Ron O DrorDepartment of Computer Science, Stanford University, Stanford, CA 94305, USA. ron.dror@stanford.edu.ORCID 0000-0002-6418-2793
Stanford University · USHoward Hughes Medical Institute · USHarvard University · US

Funding

Molecular Regulation of Cardiovascular 7 TM ReceptorsR01HL016037 · NHLBI · DUKE UNIVERSITY · PI ROBERT J LEFKOWITZ · 1985 to 2026
$14.5M
Molecular mechanisms of adiponectin signaling and PAQR functionDP5OD021345 · OD · HARVARD MEDICAL SCHOOL · PI KRUSE, ANDREW · 2015 to 2019
$2.1M
Discovering the mechanism of GPCR-mediated arrestin stimulation to enable effective drug therapiesR01GM127359 · NIGMS · STANFORD UNIVERSITY · PI DROR, RON · 2018 to 2022
$1.5M
Howard Hughes Medical InstituteNHLBI NIH HHS R01 HL016037NIGMS NIH HHS R01 GM127359NIH HHS DP5 OD021345
6 · The paper itself

Abstract

Biased signaling, in which different ligands that bind to the same G protein-coupled receptor preferentially trigger distinct signaling pathways, holds great promise for the design of safer and more effective drugs. Its structural mechanism remains unclear, however, hampering efforts to design drugs with desired signaling profiles. Here, we use extensive atomic-level molecular dynamics simulations to determine how arrestin bias and G protein bias arise at the angiotensin II type 1 receptor. The receptor adopts two major signaling conformations, one of which couples almost exclusively to arrestin, whereas the other also couples effectively to a G protein. A long-range allosteric network allows ligands in the extracellular binding pocket to favor either of the two intracellular conformations. Guided by this computationally determined mechanism, we designed ligands with desired signaling profiles.

Indexed as

Signal TransductionAllosteric RegulationArrestinsGTP-Binding ProteinsHumansMolecular Dynamics SimulationProtein ConformationReceptor, Angiotensin, Type 1ArrestinsGTP-Binding ProteinsReceptor, Angiotensin, Type 1

Identifiers

PMID32079767
PMCPMC7259329
OpenAlexW3006950105

What OpenQuestion holds

Textmetadata
LicenceTDM
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.