Evidence map›Paper›PMID 26506455›Full record

ReviewBritish journal of clinical pharmacology2016

The mass action equation in pharmacology.

Terry Kenakin

Abstract readReview
In one paragraph

Review in British journal of clinical pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Protein-Ratio Rheostats: Integrating Stoichiometry, Abundance, and Binding Affinity in Cellular Function.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Agonism and Biased Signaling.Handbook of experimental pharmacology · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Employing the Operational Model to Measure System-Independent OTR Efficacy.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  13. Article
  14. A physicochemical model of odor sampling.PLoS computational biology · 2021
    Article
  15. Article
  16. Does In Vitro Potency Predict Clinically Efficacious Concentrations?Clinical pharmacology and therapeutics · 2020
    Article
  17. Article
  18. Article
  19. Review
  20. Psychedelic effects of psilocybin correlate with serotonin 2A receptor occupancy and plasma psilocin levels.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2019
    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.

Terry KenakinDepartment of Pharmacology, University of North Carolina School of Medicine, Chapel Hill, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mass action equation is the building block from which all models of drug-receptor interaction are built. In the simplest case, the equation predicts a sigmoidal relationship between the amount of drug-receptor complex and the logarithm of the concentration of drug. The form of this function is also the same as most dose-response relationships in pharmacology (such as enzyme inhibition and the protein binding of drugs) but the potency term in dose-response relationships very often differs in meaning from the similar term in the simple mass action relationship. This is because (i) most pharmacological systems are collections of mass action reactions in series and/or in parallel and (ii) the important assumptions in the mass action reaction are violated in complex pharmacological systems. In some systems, the affinity of the receptor R for some ligand A is modified by interaction of the receptor with the allosteric ligand B and concomitantly the affinity of the receptor for ligand B is modified to the same degree. When this occurs, the observed affinity of the ligand A for the receptor will depend on both the concentration of the co-binding allosteric ligand and its nature. The relationships between drug potency in pharmacological models and the equilibrium dissociation constants defined in single mass action reactions are discussed. More detailed knowledge of efficacy has led to new models of drug action that depend on the relative probabilities of different states, and these have taken knowledge of drug-receptor interactions beyond Guldberg and Waage.

Indexed as

Dose-Response Relationship, DrugPharmacologyAllosteric RegulationAnimalsHumansLigandsProbabilityProtein ConformationReceptors, DrugLigandsReceptors, Drugdose-responsemass actionpharmacologyreceptor

Identifiers

PMID26506455
PMCPMC4693573

What OpenQuestion holds

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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.