Quantitative assessment of ligand bias from bias plots: The bias coefficient “kappa”

Kelly Karl, Sudarshan Rajagopal, Kalina Hristova

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Article number130428
JournalBiochimica et Biophysica Acta - General Subjects
Volume1867
Issue number10
DOIs
StatePublished - Oct 2023
Externally publishedYes

Keywords

  • Ligand bias
  • Membrane receptor
  • Signaling

ASJC Scopus subject areas

  • Biophysics
  • Biochemistry
  • Molecular Biology

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