So sánh phương pháp

	Điện sinh lý học đo điện thế màng (Patch-clamp electrophysiology)	Động học Michaelis-Menten	Mô hình Dược động học Dân số
Lĩnh vực	Dược lý học	Dược lý học	Dược lý học
Họ	Process / pipeline	Process / pipeline	Process / pipeline
Năm ra đời	1976	1913	1992
Người khởi xướng	Erwin Neher and Bert Sakmann	Leonor Michaelis and Maud Menten	Lewis Sheiner and Stephen Roush
Loại	ion channel screening	mechanistic model	dose-response modeling
Công trình gốc	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.
Tên gọi khác	patch clamp, whole-cell recording, ion channel assay	MM kinetics, Michaelis constant, Vmax	PopPD, population PD, hierarchical PD modeling
Liên quan	3	2	3
Tóm tắt	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.