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Related Experiment Video

Updated: Jul 10, 2026

Visualizing Scar Development Using SCAD Assay - An Ex-situ Skin Scarring Assay
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Published on: April 28, 2022

Why the Schild method is better than Schild realised.

David Colquhoun1

  • 1Department of Pharmacology, University College London, London, UK. d.colquhoun@ucl.ac.uk

Trends in Pharmacological Sciences
|November 21, 2007
PubMed
Summary
This summary is machine-generated.

Heinz Schild's 1960s method for measuring antagonist equilibrium constants using tissue responses remains valid. Generalizations are often unnecessary, as the original Schild equation accurately describes competitive antagonist binding even with complex agonist interactions.

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Area of Science:

  • Pharmacology
  • Biophysics
  • Drug Discovery

Background:

  • Established in the 1960s, Heinz Schild's method enabled the measurement of equilibrium constants for competitive antagonists.
  • This technique allowed for quantitative analysis of drug-receptor interactions using tissue responses, even with limited knowledge of agonist mechanisms.

Purpose of the Study:

  • To re-evaluate the necessity and validity of generalizing the Schild equation for competitive antagonist binding.
  • To confirm the enduring applicability of Schild's original method in modern pharmacological research.

Main Methods:

  • Analysis of the theoretical underpinnings of the Schild equation and its proposed generalizations.
  • Review of experimental data and pharmacological principles governing agonist-receptor interactions and antagonist binding.

Main Results:

  • Attempts to generalize the Schild equation are often based on flawed assumptions.
  • The original Schild equation remains robust and applicable in scenarios involving multiple agonist binding sites, including those with interactions or non-identical sites.

Conclusions:

  • Schild's original method for determining competitive antagonist equilibrium constants is broadly valid and does not require complex generalizations.
  • The enduring simplicity and accuracy of Schild's equation support its continued use in pharmacology and drug development.