TY - JOUR
T1 - Quantitative assessment of ligand bias from bias plots
T2 - The bias coefficient “kappa”
AU - Karl, Kelly
AU - Rajagopal, Sudarshan
AU - Hristova, Kalina
N1 - Publisher Copyright:
© 2023 Elsevier B.V.
PY - 2023/10
Y1 - 2023/10
N2 - 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.
AB - 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.
KW - Ligand bias
KW - Membrane receptor
KW - Signaling
UR - http://www.scopus.com/inward/record.url?scp=85166523635&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85166523635&partnerID=8YFLogxK
U2 - 10.1016/j.bbagen.2023.130428
DO - 10.1016/j.bbagen.2023.130428
M3 - Article
C2 - 37488010
AN - SCOPUS:85166523635
SN - 0304-4165
VL - 1867
JO - Biochimica et Biophysica Acta - General Subjects
JF - Biochimica et Biophysica Acta - General Subjects
IS - 10
M1 - 130428
ER -