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Biochemical network of drug-induced enzyme production: Parameter estimation based on the periodic dosing response measurement
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SYSNO ASEP 0552998 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Biochemical network of drug-induced enzyme production: Parameter estimation based on the periodic dosing response measurement Author(s) Lynnyk, Volodymyr (UTIA-B) RID, ORCID
Papáček, Štěpán (UTIA-B) ORCID
Rehák, Branislav (UTIA-B) RID, ORCIDNumber of authors 3 Source Title Kybernetika. - : Ústav teorie informace a automatizace AV ČR, v. v. i. - ISSN 0023-5954
Roč. 57, č. 6 (2021), s. 1005-1018Number of pages 14 s. Publication form Print - P Language eng - English Country CZ - Czech Republic Keywords Parameter estimation ; Dynamical system ; Systems pharmacology ; Biochemical network ; Input-output regulation ; Fast Fourier transform Subject RIV BC - Control Systems Theory OECD category Applied mathematics R&D Projects GA19-05872S GA ČR - Czech Science Foundation (CSF) Method of publishing Open access Institutional support UTIA-B - RVO:67985556 UT WOS 000752580600008 DOI 10.14736/kyb-2021-6-1005 Annotation 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.
Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2022 Electronic address https://www.kybernetika.cz/content/2021/6/1005/paper.pdf
Number of the records: 1