Evidence map›Paper›PMID 31975518›Full record

ReviewBritish journal of pharmacology2020

100 years of modelling ligand-receptor binding and response: A focus on GPCRs.

David B Finlay, Stephen B Duffull, Michelle Glass

Abstract readReview
In one paragraph

Review in British journal of pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Cortical 5-HTMolecular psychiatry · 2025
    Pooled it
  2. Article
  3. Review
  4. Challenges in tracer development for tumor microenvironment (TME) imaging.European journal of nuclear medicine and molecular imaging · 2026
    Review
  5. Article
  6. Article
  7. Local GPCR density tips the balance of μ-opioid receptor trafficking.bioRxiv : the preprint server for biology · 2026
    Article
  8. Canonical Cannabinoid Receptors.Current topics in behavioral neurosciences · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. A Framework for Quantitative Systems Pharmacology Model Execution.Handbook of experimental pharmacology · 2025
    Review
  13. Article
  14. Article
  15. Cell-cell communication: new insights and clinical implications.Signal transduction and targeted therapy · 2024
    Review
  16. Article
  17. Review
  18. Article
  19. Kinetic analysis of endogenous βBritish journal of pharmacology · 2023
    Article
  20. Review
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

3 authors.

David B FinlayDepartment of Pharmacology and Toxicology, University of Otago, Dunedin, New Zealand.ORCID 0000-0002-3160-2931
Stephen B DuffullOtago Pharmacometrics Group, School of Pharmacy, University of Otago, Dunedin, New Zealand.ORCID 0000-0002-6545-9408
Michelle GlassDepartment of Pharmacology and Toxicology, University of Otago, Dunedin, New Zealand.ORCID 0000-0002-5997-6898

Funding

Lottery Health Research Postdoctoral Fellowship
6 · The paper itself

Abstract

Experimental pharmacologists rely on the application of models to describe biological observations in order to learn about a drug's effective concentration, the strength with which it binds its target and drives a response (at either molecular or system level), and the nature of more complex drug actions (allosterism/functional selectivity). Models in current use build upon decades of basic principles, going back to the beginning of the last century. Yet often, researchers are only partially familiar with these underlying principles, creating the potential for confusion due to failure to recognise the underpinning assumptions of the models that are used. Here, we describe the history of receptor theory as it underpins receptor stimulus-response models in use today, emphasising particularly attributes and models relevant to GPCRs-and point to some current aims of model development.

Indexed as

Receptors, G-Protein-CoupledLigandsProtein BindingLigandsReceptors, G-Protein-Coupled

Identifiers

PMID31975518
PMCPMC7060363

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.