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Analiza wykresu Scatcharda×Elektrofizjologia techniką uszczelnienia (patch-clamp)×Analiza Schild×
DziedzinaFarmakologiaFarmakologiaFarmakologia
RodzinaProcess / pipelineProcess / pipelineProcess / pipeline
Rok powstania194919761947
TwórcaGeorge ScatchardErwin Neher and Bert SakmannHenry Schild
Typbinding affinity measuremention channel screeningantagonism quantification
Źródło pierwotneScatchard, G. (1949). The attractions of proteins for small molecules and ions. Annals of the New York Academy of Sciences, 51(4), 660-672. DOI ↗Neher, E., & Sakmann, B. (1976). Single-channel currents recorded from membrane of denervated frog muscle fibres. Nature, 260(5554), 799-802. DOI ↗Schild, H. O. (1947). pA, a new scale for the measurement of drug antagonism. Journal of Physiology, 106(3), 337-357. DOI ↗
Inne nazwyScatchard plot, binding analysis, Kd determinationpatch clamp, whole-cell recording, ion channel assaySchild plot, pA2
Pokrewne333
PodsumowanieScatchard analysis is a graphical method for determining ligand-receptor binding affinity (Kd) and binding capacity (Bmax) from binding data. Developed by George Scatchard in 1949, the Scatchard plot linearizes hyperbolic binding curves, enabling visual detection of multiple binding sites and quantitative parameter estimation.Patch-clamp electrophysiology is a technique for measuring ionic currents through ion channels in cell membranes, developed by Neher and Sakmann in 1976. It enables direct observation of single-channel and whole-cell currents at millisecond resolution, making it essential for characterizing drug effects on ion channels and cardiac safety assessment.Schild analysis is a quantitative method for characterizing competitive receptor antagonism developed by Henry Schild in 1947. It uses dose-response curves in the presence and absence of antagonist to estimate the antagonist affinity constant (pA2), enabling standardized comparison of antagonist potency across drugs and experimental systems.
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ScholarGatePorównaj metody: Scatchard Analysis · Patch-Clamp · Schild Analysis. Pobrano 2026-06-18 z https://scholargate.app/pl/compare