Evidence map›Paper›PMID 26265138›Full record

ReviewBiochemical pharmacology2015

New paradigms in GPCR drug discovery.

Kenneth A Jacobson

Abstract readReview
In one paragraph

Review in Biochemical pharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
11.1field-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

64 citing papers in PubMed, 168 citations in OpenAlex.

  1. Article
  2. Biased signalingActa pharmaceutica Sinica. B · 2025
    Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Mitochondrial Localization and Function of Adenosine Receptors.International journal of biological sciences · 2025
    Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Allosteric Modulators of Dopamine DMolecules (Basel, Switzerland) · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Discovery of β-Arrestin-Biased 25CN-NBOH-Derived 5-HTJournal of medicinal chemistry · 2022
    Article
  17. Article
  18. Review
  19. Review
  20. Article

4 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

1 author at 1 institution in 1 country.

Kenneth A JacobsonMolecular Recognition Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bldg. 8A, Rm. B1A-19, Bethesda, Maryland 20892, USA. Electronic address: kajacobs@helix.nih.gov.
National Institutes of Health · US

Funding

Development Of Drugs Acting At Adenosine ReceptorsZIADK031117 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI JACOBSON, KENNETH ALAN · 2009 to 2025
$10.4M
Drugs that Act at Adenosine ReceptorsZ01DK031117 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI JACOBSON, KENNETH ALAN · 1991 to 2008
$854k
Intramural NIH HHS Z01 DK031117Intramural NIH HHS Z99 DK999999Intramural NIH HHS ZIA DK031117
6 · The paper itself

Abstract

G protein-coupled receptors (GPCRs) remain a major domain of pharmaceutical discovery. The identification of GPCR lead compounds and their optimization are now structure-based, thanks to advances in X-ray crystallography, molecular modeling, protein engineering and biophysical techniques. In silico screening provides useful hit molecules. New pharmacological approaches to tuning the pleotropic action of GPCRs include: allosteric modulators, biased ligands, GPCR heterodimer-targeted compounds, manipulation of polypharmacology, receptor antibodies and tailoring of drug molecules to fit GPCR pharmacogenomics. Measurements of kinetics and drug efficacy are factors influencing clinical success. With the exception of inhibitors of GPCR kinases, targeting of intracellular GPCR signaling or receptor cycling for therapeutic purposes remains a futuristic concept. New assay approaches are more efficient and multidimensional: cell-based, label-free, fluorescence-based assays, and biosensors. Tailoring GPCR drugs to a patient's genetic background is now being considered. Chemoinformatic tools can predict ADME-tox properties. New imaging technology visualizes drug action in vivo. Thus, there is reason to be optimistic that new technology for GPCR ligand discovery will help reverse the current narrowing of the pharmaceutical pipeline.

Indexed as

AnimalsCrystallography, X-RayDrug DesignDrug DiscoveryHumansProtein Structure, SecondaryReceptors, G-Protein-CoupledSignal TransductionReceptors, G-Protein-CoupledDrug discoveryGPCRInhibitorsSignalingstructure-based designX-ray crystallography

Identifiers

PMID26265138
PMCPMC4967540
OpenAlexW1170028849

What Socratic 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 Socratic graph.