Operational models of pharmacological agonism

Black, J. W., & Leff, P. (1983). Operational models of pharmacological agonism. Proceedings of the Royal Society of London B: Biological Sciences, 220(1219), 141-162.

Type

Journal article

Intellectual base

Primary research

Year

1983

Volume

220

Issue

1219

Pages

141-162

DOI

10.1098/rspb.1983.0093

DOI registrant

The Royal Society

Link

https://doi.org/10.1098/rspb.1983.0093

Cited from

pharmacology_toxicology

Cited by

3 citations across 3 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• PK/PD Modeling (Pharmacokinetics / Pharmacodynamics)
  • Structurally-faithful non-formal case — advertising-budget allocation with time-delayed brand-response: A marketing team models advertising budget (dose) → share-of-voice and reach time course ("PK" — how ad spend translates to audience exposure with absorption-like ramp-up and exponential decay as campaign ends) → brand-awareness and consideration response ("PD" — effect of exposure on lagged brand metrics with saturation at high exposure and delay between exposure and response — effect-compartment lag), with the saturating concentration-effect leg formally an instance of the operational model of agonism due to Black and Leff (1983).
• Receptor Saturation
  • As Black and Leff (1983) emphasize in their operational model of agonism,

Domain-specific

• Partial Agonist
  • … determining how much drug is needed to occupy the receptor) and intrinsic activity or intrinsic efficacy (the fraction of maximum system response generated per occupied receptor), formalized in Stephenson's (1956) receptor-pharmacology framework and given quantitative grounding in the Black–Leff operational model

    This sourceProceedings of the Royal Society of London. Series B, Biological Sciences, 1983. The operational model's transducer-ratio formulation, defining efficacy quantitatively and making intrinsic efficacy experimentally accessible.

    Supported in partVerified against a saved copy of the source

    “is a logical definition for the efficacy of an agonist in a system.”

    Read by an automated reader; not a human review. How support was checked

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