Regulatory network of drug-induced enzyme production: parameter estimation based on the periodic dosing response measurement

Papáček, Štěpán, Lynnyk, Volodymyr, and Rehák, Branislav. "Regulatory network of drug-induced enzyme production: parameter estimation based on the periodic dosing response measurement." Programs and Algorithms of Numerical Mathematics. Prague: Institute of Mathematics CAS, 2021. 89-97. <http://eudml.org/doc/296909>.

@inProceedings{Papáček2021,
abstract = {The common goal of systems pharmacology, i.e. systems biology applied to the field of pharmacology, is to rely less on trial and error in designing an input-output systems, e.g. therapeutic schedules. In this paper we present, on the paradigmatic example of a regulatory network of drug-induced enzyme production, the further development of the study published by Duintjer Tebbens et al. (2019) in the Applications of Mathematics. Here, the key feature is that the nonlinear model in form of an ODE system is controlled (or periodically forced) by an input signal being a drug intake. Our aim is to test the model features under both periodic and nonrecurring dosing, and eventually to provide an innovative method for a parameter estimation based on the periodic dosing response measurement.},
author = {Papáček, Štěpán, Lynnyk, Volodymyr, Rehák, Branislav},
booktitle = {Programs and Algorithms of Numerical Mathematics},
keywords = {dynamical system; regulatory network; input-output regulation; parameter estimation; FFT},
location = {Prague},
pages = {89-97},
publisher = {Institute of Mathematics CAS},
title = {Regulatory network of drug-induced enzyme production: parameter estimation based on the periodic dosing response measurement},
url = {http://eudml.org/doc/296909},
year = {2021},
}

TY - CLSWK
AU - Papáček, Štěpán
AU - Lynnyk, Volodymyr
AU - Rehák, Branislav
TI - Regulatory network of drug-induced enzyme production: parameter estimation based on the periodic dosing response measurement
T2 - Programs and Algorithms of Numerical Mathematics
PY - 2021
CY - Prague
PB - Institute of Mathematics CAS
SP - 89
EP - 97
AB - The common goal of systems pharmacology, i.e. systems biology applied to the field of pharmacology, is to rely less on trial and error in designing an input-output systems, e.g. therapeutic schedules. In this paper we present, on the paradigmatic example of a regulatory network of drug-induced enzyme production, the further development of the study published by Duintjer Tebbens et al. (2019) in the Applications of Mathematics. Here, the key feature is that the nonlinear model in form of an ODE system is controlled (or periodically forced) by an input signal being a drug intake. Our aim is to test the model features under both periodic and nonrecurring dosing, and eventually to provide an innovative method for a parameter estimation based on the periodic dosing response measurement.
KW - dynamical system; regulatory network; input-output regulation; parameter estimation; FFT
UR - http://eudml.org/doc/296909
ER -