Evidence map›Paper›PMID 22994528›Full record

ReviewBritish journal of pharmacology2013

New concepts in pharmacological efficacy at 7TM receptors: IUPHAR review 2.

Terry Kenakin

Abstract readReview
In one paragraph

Review in British journal of pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing 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

77 citing papers in PubMed.

  1. Ligand-dependent G protein dynamics underlying opioid efficacy.Nature structural & molecular biology · 2026
    Article
  2. Article
  3. Review
  4. GPCR Phospho-Barcodes and Biased Signaling.Handbook of experimental pharmacology · 2026
    Review
  5. Article
  6. Ligand-dependent G protein dynamics underlying opioid signaling efficacy.bioRxiv : the preprint server for biology · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Evidence of G-Protein-Coupled Receptors (GPCR) in the Parasitic ProtozoaInternational journal of molecular sciences · 2021
    Review

17 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.

Terry KenakinDepartment of Pharmacology, University of North Carolina School of Medicine, Chapel Hill, NC, USA. Kenakin@email.unc.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present-day concept of drug efficacy has changed completely from its original description as the property of agonists that causes tissue activation. The ability to visualize the multiple behaviours of seven transmembrane receptors has shown that drugs can have many efficacies and also that the transduction of drug stimulus to various cellular stimulus-response cascades can be biased towards some but not all pathways. This latter effect leads to agonist 'functional selectivity', which can be favourable for the improvement of agonist therapeutics. However, in addition, biased agonist potency becomes cell type dependent with the loss of the monotonic behaviour of stimulus-response mechanisms, leading to potential problems in agonist quantification. This has an extremely important effect on the discovery process for new agonists since it now cannot be assumed that a given screening or lead optimization assay will correctly predict therapeutic behaviour. This review discusses these ideas and how new approaches to quantifying agonist effect may be used to circumvent the cell type dependence of agonism. This article, written by a corresponding member of the International Union of Basic and Clinical Pharmacology Committee on Receptor Nomenclature and Drug Classification (NC-IUPHAR), reviews our current understanding of the interaction of ligands with seven transmembrane receptors. Further information on these pharmacological concepts is being incorporated into the IUPHAR/BPS database GuideToPharmacology.org.

Indexed as

AnimalsHumansLigandsMolecular Dynamics SimulationPhosphorylationReceptors, Cell SurfaceSignal TransductionTreatment OutcomeLigandsReceptors, Cell Surface

Identifiers

PMID22994528
PMCPMC3579279

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.