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Quantitative assessment of ligand bias from bias plots: The bias coefficient "kappa".
Karl, Kelly; Rajagopal, Sudarshan; Hristova, Kalina.
Afiliación
  • Karl K; Institute for NanoBioTechnology, Department of Materials Science and Engineering, and Program in Molecular Biophysics, Johns Hopkins University, Baltimore, MD 21218, United States of America.
  • Rajagopal S; Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC 27710, United States of America.
  • Hristova K; Institute for NanoBioTechnology, Department of Materials Science and Engineering, and Program in Molecular Biophysics, Johns Hopkins University, Baltimore, MD 21218, United States of America. Electronic address: kh@jhu.edu.
Biochim Biophys Acta Gen Subj ; 1867(10): 130428, 2023 10.
Article en En | MEDLINE | ID: mdl-37488010
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Transducción de Señal Idioma: En Revista: Biochim Biophys Acta Gen Subj Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Transducción de Señal Idioma: En Revista: Biochim Biophys Acta Gen Subj Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos