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Updated: Jul 22, 2025

Quantifying Agonist Activity at G Protein-coupled Receptors
Published on: December 26, 2011
Quantitative assessment of ligand bias from bias plots: The bias coefficient "kappa"
Kelly Karl1, Sudarshan Rajagopal2, Kalina Hristova1
1Institute for NanoBioTechnology, Department of Materials Science and Engineering, and Program in Molecular Biophysics, Johns Hopkins University, Baltimore, MD 21218, United States of America.
Abstract:
The current methods for quantifying ligand bias involve the construction of bias plots and the calculations of bias coefficients that can be compared using statistical methods. However, widely used bias coefficients can diverge in their abilities to identify ligand bias and can give false positives. As the empirical bias plots are considered the most reliable tools in bias identification, here we develop an analytical description of bias plot trajectories and introduce a bias coefficient, kappa, which is calculated from these trajectories. The new bias coefficient complements the tool-set in ligand bias identification in cell signaling research.
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