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Metoda Chou-Talalay×Populační farmakodynamické modelování×Schildova analýza×
OborFarmakologieFarmakologieFarmakologie
RodinaProcess / pipelineProcess / pipelineProcess / pipeline
Rok vzniku198319921947
TvůrceTing-Chao Chou and Paul TalalayLewis Sheiner and Stephen RoushHenry Schild
Typsynergy quantificationdose-response modelingantagonism quantification
Původní zdrojChou, T. C., & Talalay, P. (1983). Quantitative analysis of dose-effect relationships: the combined effects of multiple drugs or enzyme inhibitors. Advances in Enzyme Regulation, 22, 27-55. DOI ↗Dahlström, B., & Nyberg, L. (1993). Population pharmacokinetics and pharmacodynamics. Clinical Pharmacokinetics, 24(1), 45-57. link ↗Schild, H. O. (1947). pA, a new scale for the measurement of drug antagonism. Journal of Physiology, 106(3), 337-357. DOI ↗
Další názvyCI method, Chou method, median-effect analysisPopPD, population PD, hierarchical PD modelingSchild plot, pA2
Příbuzné333
ShrnutíThe Chou-Talalay method is a quantitative framework for analyzing drug interactions, developed by Ting-Chao Chou and Paul Talalay in 1983. It combines median-effect principle with the combination index (CI) to provide rigorous, model-independent assessment of synergistic, additive, or antagonistic drug effects.Population pharmacodynamic (PopPD) modeling integrates pharmacokinetics with individual dose-response relationships across patient populations to characterize drug efficacy and tolerability. Pioneered by Lewis Sheiner and colleagues, PopPD accounts for inter-individual variability in drug effects and enables rational dose optimization and response prediction.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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ScholarGatePorovnat metody: Chou-Talalay Method · Population Pharmacodynamics · Schild Analysis. Získáno 2026-06-20 z https://scholargate.app/cs/compare