Evidence map›Paper›PMID 23291723›Full record

ArticleNature methods2013

A pharmacological organization of G protein-coupled receptors.

Henry Lin, Maria F Sassano, Bryan L Roth, Brian K Shoichet

Abstract read
In one paragraph

Article in Nature methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Structure-Based Design and Discovery of New MJournal of medicinal chemistry · 2017
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Henry LinDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California, USA.
Maria F Sassano
Bryan L Roth
Brian K Shoichet

Funding

BMI Bioinformatics Training GrantsT32GM067547 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERNANDEZ, RYAN D. · 2003 to 2022
$6.6M
A Web-Based Automatic Virtual Screening SystemR01GM071896 · NIGMS · UNIVERSITY OF TORONTO · PI IRWIN, JOHN J. · 2004 to 2024
$6.0M
Targeting and Trafficking of 5-HT2A Serotonin ReceptorsR01MH061887 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROTH, BRYAN L. · 2000 to 2014
$4.5M
Diterpines as Selective Kappa Opioid Receptor AgonistsR01DA017204 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROTH, BRYAN L. · 2003 to 2014
$3.2M
NIDA NIH HHS DA017204NIDA NIH HHS R01 DA017204NIGMS NIH HHS GM71896NIGMS NIH HHS R01 GM071896NIGMS NIH HHS T32 GM067547NIMH NIH HHS R01 MH061887NIMH NIH HHS R01 MH61887
6 · The paper itself

Abstract

Protein classification typically uses structural, sequence or functional similarity. Here we introduce an orthogonal method that organizes proteins by ligand similarity, focusing on the class A G-protein-coupled receptor (GPCR) protein family. Comparing a ligand-based dendrogram to a sequence-based one, we identified GPCRs that were distantly linked by sequence but were neighbors by ligand similarity. Experimental testing of the ligands predicted to link three of these new pairs confirmed the predicted association, with potencies ranging from low nanomolar to low micromolar. We also predicted hundreds of non-GPCRs closely related to GPCRs by ligand similarity and confirmed several cases experimentally. Ligand similarities among these targets may reflect the conservation of identical ligands among unrelated receptors, which signal in different time domains. Our method integrates these apparently disparate receptors into chemically coherent circuits and suggests which of these receptors may be targeted by individual ligands.

Indexed as

LigandsAmino Acid SequenceBinding SitesDatabases, ProteinHumansReceptors, G-Protein-CoupledLigandsReceptors, G-Protein-Coupled

Identifiers

PMID23291723
PMCPMC3560304

What OpenQuestion holds

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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.