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

0552998 - ÚTIA 2022 RIV CZ eng J - Journal Article
Lynnyk, Volodymyr - Papáček, Štěpán - Rehák, Branislav
Biochemical network of drug-induced enzyme production: Parameter estimation based on the periodic dosing response measurement.
Kybernetika. Roč. 57, č. 6 (2021), s. 1005-1018. ISSN 0023-5954
R&D Projects: GA ČR(CZ) GA19-05872S
Institutional support: RVO:67985556
Keywords : Parameter estimation * Dynamical system * Systems pharmacology * Biochemical network * Input-output regulation * Fast Fourier transform
OECD category: Applied mathematics
Impact factor: 0.690, year: 2021
Method of publishing: Open access
http://library.utia.cas.cz/separaty/2022/TR/lynnyk-0552998.pdf https://www.kybernetika.cz/content/2021/6/1005/paper.pdf

The well-known bottleneck of systems pharmacology, i. e., systems biology applied to pharmacology, refers to the model parameters determination from experimentally measured datasets. This paper represents the development of our earlier studies devoted to inverse (ill-posed) problems of model parameters identification. The key feature of this research is the introduction of control (or periodic forcing by an input signal being a drug intake) of the nonlinear model of drug-induced enzyme production in the form of a system of ordinary differential equations. First, we tested the model features under periodic dosing, and subsequently, we provided an innovative method for a parameter estimation based on the periodic dosing response measurement. A numerical example approved the satisfactory behavior of the proposed algorithm.

Permanent Link: http://hdl.handle.net/11104/0328317