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Conference Paper (international conference)

REGULATORY NETWORK OF DRUG-INDUCED ENZYME PRODUCTION: PARAMETER ESTIMATION BASED ON THE PERIODIC DOSING RESPONSE MEASUREMENT

Papáček Štěpán, Lynnyk Volodymyr, Rehák Branislav

: Programs and Algorithms of Numerical Mathematics. Proceedings of Seminar, p. 89-97 , Eds: Chleboun J., Kůs P., Přikryl P., Rozložník M., Segeth K., Šístek J.

: Programy a algoritmy numericke matematiky 2020 (PANM 2020), (Hejnice, CZ, 20200621)

: GA19-05872S, GA ČR

: Dynamical system, Regulatory network, Input-output, Regulation, Parameter estimation, FFT

: 10.21136/panm.2020.09

: http://library.utia.cas.cz/separaty/2021/TR/papacek-0542303.pdf

(eng): The common goal of systems pharmacology, i.e. systems biology applied to the eld 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.

: BC

: 10102

07.01.2019 - 08:39