Módszerek összehasonlítása

	Patch-Clamp Elektrofiziológia	Michaelis-Menten kinetika	Populációs farmakodinámiás modellezés
Tudományterület	Farmakológia	Farmakológia	Farmakológia
Módszercsalád	Process / pipeline	Process / pipeline	Process / pipeline
Keletkezés éve	1976	1913	1992
Megalkotó	Erwin Neher and Bert Sakmann	Leonor Michaelis and Maud Menten	Lewis Sheiner and Stephen Roush
Típus	ion channel screening	mechanistic model	dose-response modeling
Alapmű	Neher, E., & Sakmann, B. (1976). Single-channel currents recorded from membrane of denervated frog muscle fibres. Nature, 260(5554), 799-802.	Michaelis, L., & Menten, M. L. (1913). Die Kinetik der Invertinwirkung. Biochemische Zeitschrift, 49, 333-369.	Dahlström, B., & Nyberg, L. (1993). Population pharmacokinetics and pharmacodynamics. Clinical Pharmacokinetics, 24(1), 45-57.
Alternatív nevek	patch clamp, whole-cell recording, ion channel assay	MM kinetics, Michaelis constant, Vmax	PopPD, population PD, hierarchical PD modeling
Kapcsolódó	3	2	3
Összefoglaló	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.	Michaelis-Menten kinetics describes the rate of enzyme-catalyzed reactions as a function of substrate concentration. Developed by Leonor Michaelis and Maud Menten in 1913, this foundational framework models enzyme catalysis through the rapid-equilibrium approximation and enables prediction of drug metabolism rates in pharmacokinetics.	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.