ArticleBiochimica et biophysica acta. General subjects2023
Quantitative assessment of ligand bias from bias plots: The bias coefficient "kappa".
Article in Biochimica et biophysica acta. General subjects, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Mechanisms and Manifestations of Ligand Bias in Signaling: Focus on Receptor Tyrosine Kinases.Chemical reviews · 2026Review
- Molecular determinants of signal transduction in tropomyosin receptor kinases.FEBS open bio · 2026Review
- Quantitative receptor model for responses that are left- or right-shifted versus occupancy (are more or less concentration sensitive): the SABRE approach.Frontiers in pharmacology · 2023Article
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Authors and funding
3 authors.
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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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