Evidence map›Paper›PMID 23411724›Full record

ReviewNature reviews. Drug discovery2013

Signalling bias in new drug discovery: detection, quantification and therapeutic impact.

Terry Kenakin, Arthur Christopoulos

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Drug discovery, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 374 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
374citing papers in PubMed, 1 pooled it
27.3field-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

374 citing papers in PubMed, 1 synthesis or guideline pooled it, 714 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Side-Chain Homologs of ΔMolecular neurobiology · 2026
    Article
  6. Review
  7. G protein signaling capabilities at the bradykinin 2 receptor.Naunyn-Schmiedeberg's archives of pharmacology · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Triazole 187 is a biased KOR agonist that suppresses itch without sedation and induces anxiolytic-like behaviors in mice.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  14. Article
  15. Review
  16. Article
  17. Reimagining pharmacology education.Pharmacological reviews · 2026
    Review
  18. Review
  19. Review
  20. Article

314 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Terry KenakinDepartment of Pharmacology, University of North Carolina School of Medicine, 120 Mason Farm Road, Room 4042, Genetic Medicine Building, CB 7365, Chapel Hill, North Carolina 2759-97365, USA. kenakin@email.unc.edu
Arthur Christopoulos
Monash University · AUUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Agonists of seven-transmembrane receptors, also known as G protein-coupled receptors (GPCRs), do not uniformly activate all cellular signalling pathways linked to a given seven-transmembrane receptor (a phenomenon termed ligand or agonist bias); this discovery has changed how high-throughput screens are designed and how lead compounds are optimized for therapeutic activity. The ability to experimentally detect ligand bias has necessitated the development of methods for quantifying agonist bias in a way that can be used to guide structure-activity studies and the selection of drug candidates. Here, we provide a viewpoint on which methods are appropriate for quantifying bias, based on knowledge of how cellular and intracellular signalling proteins control the conformation of seven-transmembrane receptors. We also discuss possible predictions of how biased molecules may perform in vivo, and what potential therapeutic advantages they may provide.

Indexed as

Drug DiscoveryAlgorithmsAnimalsDrug TherapyHumansLigandsReceptors, G-Protein-CoupledSignal TransductionLigandsReceptors, G-Protein-Coupled

Identifiers

PMID23411724
OpenAlexW2006803138

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.