Evidence map›Paper›PMID 22947056›Full record

ReviewBMC pharmacology & toxicology2012

The potential for selective pharmacological therapies through biased receptor signaling.

Terry Kenakin

Open access · goldAbstract readReview
In one paragraph

Review in BMC pharmacology & toxicology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

25 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Targeting muscarinic receptors for treating schizophrenia.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Making Sense of Pharmacology: Inverse Agonism and Functional Selectivity.The international journal of neuropsychopharmacology · 2018
    Review
  10. Article
  11. Review
  12. G Protein-Coupled Receptors in Cancer.International journal of molecular sciences · 2016
    Review
  13. Biased agonism: An emerging paradigm in GPCR drug discovery.Bioorganic & medicinal chemistry letters · 2016
    Review
  14. Article
  15. The mass action equation in pharmacology.British journal of clinical pharmacology · 2016
    Review
  16. Article
  17. Article
  18. Label-free drug discovery.Frontiers in pharmacology · 2014
    Review
  19. Review
  20. Article
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.

Terry KenakinDepartment of Pharmacology, University of North Carolina School of Medicine, 120 Mason Farm Road, Room 4042 Genetic Medicine Building, CB# 7365, Chapel Hill, NC 27599-7365, USA. kenakin@email.unc.edu
University of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery that not all agonists uniformly activate cellular signaling pathways (biased signaling) has greatly changed the drug discovery process for agonists and the strategy for treatment of disease with agonists. Technological advances have enabled complex receptor behaviors to be viewed independently and through these assays, the bias for an agonist can be quantified. It is predicted that therapeutic phenotypes will be linked, through translational studies, to quantified scales of bias to guide medicinal chemists in the drug discovery process.

Indexed as

Drug TherapyAnimalsHumansReceptors, Cell SurfaceSignal TransductionReceptors, Cell Surface

Identifiers

PMID22947056
PMCPMC3506267
OpenAlexW2078733335

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.