bibtype J - Journal Article
ARLID 0552998
utime 20240903170650.2
mtime 20220208235959.9
WOS 000752580600008
DOI 10.14736/kyb-2021-6-1005
title (primary) (eng) Biochemical network of drug-induced enzyme production: Parameter estimation based on the periodic dosing response measurement
specification
page_count 14 s.
media_type P
serial
ARLID cav_un_epca*0297163
ISSN 0023-5954
title Kybernetika
volume_id 57
volume 6 (2021)
page_num 1005-1018
publisher
name Ústav teorie informace a automatizace AV ČR, v. v. i.
keyword Parameter estimation
keyword Dynamical system
keyword Systems pharmacology
keyword Biochemical network
keyword Input-output regulation
keyword Fast Fourier transform
author (primary)
ARLID cav_un_auth*0215855
name1 Lynnyk
name2 Volodymyr
institution UTIA-B
full_dept (cz) Teorie řízení
full_dept (eng) Department of Control Theory
department (cz)
department (eng) TR
full_dept Department of Control Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0404313
name1 Papáček
name2 Štěpán
institution UTIA-B
full_dept (cz) Teorie řízení
full_dept Department of Control Theory
department (cz)
department TR
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0216347
name1 Rehák
name2 Branislav
institution UTIA-B
full_dept (cz) Teorie řízení
full_dept Department of Control Theory
department (cz)
department TR
full_dept Department of Control Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type článek odborném periodiku
source_size 3.509 kB
url http://library.utia.cas.cz/separaty/2022/TR/lynnyk-0552998.pdf
source
url https://www.kybernetika.cz/content/2021/6/1005/paper.pdf
cas_special
project
project_id GA19-05872S
agency GA ČR
country CZ
ARLID cav_un_auth*0376352
abstract (eng) 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.\n
result_subspec WOS
RIV BC
FORD0 10000
FORD1 10100
FORD2 10102
reportyear 2022
num_of_auth 3
mrcbC52 4 A sml 4as 20231122150340.8
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0328317
confidential S
contract
name Licence Agreement
date 20220125
mrcbC86 3+4 Article Computer Science Cybernetics
mrcbC91 A
mrcbT16-e COMPUTERSCIENCECYBERNETICS
mrcbT16-j 0.225
mrcbT16-s 0.247
mrcbT16-D Q4
mrcbT16-E Q4
arlyear 2021
mrcbTft \nSoubory v repozitáři: lynnyk-0552998-kybernetika-licence.pdf
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 000752580600008 WOS
mrcbU56 článek odborném periodiku 3.509 kB
mrcbU63 cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 57 č. 6 2021 1005 1018 Ústav teorie informace a automatizace AV ČR, v. v. i.