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Анализ изоболограмм×Популяционное фармакодинамическое моделирование×Анализ Шильда×
ОбластьФармакологияФармакологияФармакология
СемействоProcess / pipelineProcess / pipelineProcess / pipeline
Год появления192619921947
Автор методаSalvatore LoeweLewis Sheiner and Stephen RoushHenry Schild
Типsynergy quantificationdose-response modelingantagonism quantification
Основополагающий источникLoewe, S. (1926). Die Mischtoxizität. Zeitschrift für Experimentelle Pathologie und Therapie, 24, 315-334. link ↗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 ↗
Другие названияisobol, combination index, synergy testingPopPD, population PD, hierarchical PD modelingSchild plot, pA2
Связанные333
СводкаIsobologram analysis is a graphical and quantitative method for detecting and classifying drug interactions, developed by Salvatore Loewe in 1926. It uses dose-response data from two drugs applied individually and in combination to determine whether their interaction is additive, synergistic, or antagonistic.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.
ScholarGateНабор данных
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ScholarGateСравнение методов: Isobologram Analysis · Population Pharmacodynamics · Schild Analysis. Получено 2026-06-20 из https://scholargate.app/ru/compare