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Updated: Nov 16, 2025

Quantifying Agonist Activity at G Protein-coupled Receptors
Published on: December 26, 2011
Conceptual and experimental issues in biased agonism.
H Ongun Onaran1, Tommaso Costa2
1Ankara University, Faculty of Medicine, Department of Pharmacology, Molecular Biology and Technology Development Unit, Ankara, Turkey.
This review clarifies agonism in biased G protein-coupled receptor (GPCR) signaling. Classical receptor theory offers a mathematical tool, not a mechanistic model, for understanding ligand efficacy and biased agonism.
Area of Science:
- Pharmacology
- Biochemistry
- Molecular Biology
Background:
- G protein-coupled receptors (GPCRs) mediate diverse cellular responses.
- Signaling bias, or functional selectivity, describes ligands that preferentially activate specific signaling pathways.
- Understanding agonism is crucial for interpreting GPCR ligand activity.
Purpose of the Study:
- To review the theoretical and experimental basis for assessing agonism in biased GPCR signaling.
- To reconcile classical receptor theory with chemical thermodynamics in measuring agonism.
- To emphasize the importance of dissecting efficacy from affinity for understanding biased agonism.
Main Methods:
- Theoretical analysis of classical receptor theory and chemical thermodynamics.
- Review of experimental approaches for assessing ligand efficacy and signaling bias.
- Examination of concentration-dependent functional data.
Main Results:
- Classical receptor theory's efficacy measure and chemical thermodynamics' allosteric effect are coincident measures of agonism.
- Classical theory is a mathematical tool for efficacy extraction, not a mechanistic descriptor of ligand-receptor signaling.
- Dissecting efficacy from affinity is essential for understanding agonism and biased agonism.
Conclusions:
- Biased agonism arises from the preferential formation of specific GPCR-transducer complexes.
- Identifying ligands with true efficacy bias is fundamental for exploring GPCR conformational space.
- Understanding efficacy bias is critical for advancing GPCR-targeted drug discovery.
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