Related Experiment Video
Updated: Aug 14, 2026

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0
Published on: June 5, 2017
A dynamical systems analysis of the indirect response model with special emphasis on time to peak response
Lambertus A Peletier1, Johan Gabrielsson, Jacintha den Haag
1Mathematical Institute, Leiden University, PB 9512, 2300, RA, Leiden, The Netherlands. peletier@math.leidenuniv.nl
Abstract:
In this paper we present a mathematical analysis of the four classical indirect response models. We focus on characteristics such as the evolution of the response R(t) with time t, the time of maximal/minimal response T(max) and the area between the response and the baseline AUC(R), and the way these quantities depend on the drug dose, the dynamic parameters such as E(max) and EC50 and the ratio of the fractional turnover rate k(out) to the elimination rate constant k of drug in plasma. We find that depending on the model and on the drug mechanism function, T(max) may increase, decrease, decrease and then increase, or stay the same, as the drug dose is increased. This has important implications for using the shift in T(max) as a diagnostic tool in the selection of an appropriate model.
Related Concept Videos
Pharmacodynamic Models: Direct Effect Model and Indirect Response Model
Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model
Pharmacodynamic Models: Additive and Proportional Drug Effect Model
Pharmacokinetic–Pharmacodynamic Relationship: Model Components
Second Order systems II
If ζ...
Pharmacodynamic Models: Overview

