bibtype C - Conference Paper (international conference)
ARLID 0568675
utime 20240402213621.3
mtime 20230216235959.9
title (primary) (eng) Bohl-Marek decomposition applied to a class of biochemical networks with conservation properties
specification
page_count 4 s.
media_type E
serial
ARLID cav_un_epca*0568674
ISBN 978-80-86407-85-2
title Proceedings of the Seminar on Numerical Analysis & Winter School /SNA' 23/
page_num 56-59
publisher
place Ostrava
name Institute of Geonics of the Czech Academy of Sciences
year 2023
editor
name1 Starý
name2 Jiří
editor
name1 Sysala
name2 Stanislav
editor
name1 Sysalová
name2 Dagmar
keyword Mathematical modeling
keyword Biochemical network
keyword Pharmacokinetic (PBPK) models
author (primary)
ARLID cav_un_auth*0404313
name1 Papáček
name2 Štěpán
institution UTIA-B
full_dept (cz) Teorie řízení
full_dept (eng) Department of Control Theory
department (cz)
department (eng) TR
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0100790
name1 Matonoha
name2 Ctirad
institution UIVT-O
full_dept (cz) Oddělení výpočetní matematiky
full_dept Department of Computational Mathematics
full_dept Department of Computational Mathematics
fullinstit Ústav informatiky AV ČR, v. v. i.
author
ARLID cav_un_auth*0208862
name1 Duintjer Tebbens
name2 Jurjen
institution UIVT-O
full_dept (cz) Oddělení výpočetní matematiky
full_dept Department of Computational Mathematics
full_dept Department of Computational Mathematics
country NL
fullinstit Ústav informatiky AV ČR, v. v. i.
source
source_type poster
url http://library.utia.cas.cz/separaty/2023/TR/papacek-0568675.pdf
cas_special
project
project_id GA21-03689S
agency GA ČR
country CZ
ARLID cav_un_auth*0410139
abstract (eng) This study presents an application of one special technique, further called as Bohl-Marek decomposition, related to the mathematical modeling of biochemical networks with mass conservation properties. We continue in direction of papers devoted to inverse problems of parameter estimation for mathematical models describing the drug-induced enzyme production networks [3]. However, being aware of the complexity of general physiologically based pharmacokinetic (PBPK) models, here we focus on the case of enzyme-catalyzed reactions with a substrate transport chain [5]. Although our ultimate goal is to develop a reliable method for fitting the model parameters to given experimental data, here we study certain numerical issues within the framework of optimal experimental design [6]. Before starting an experiment on a real biochemical network, we formulate an optimization problem aiming to maximize the information content of the corresponding experiment. For the above-sketched optimization problem, the computational costs related to the two formulations of the same biochemical network, being (i) the classical formulation x˙(t) = Ax(t) + b(t) and (ii) the 'quasi-linear' Bohl-Marek formulation x˙M(t) = M(x(t)) xM(t), can be determined and compared.
action
ARLID cav_un_auth*0445278
name SEMINAR ON NUMERICAL ANALYSIS - SNA'23 In memoriam of professor Radim Blaheta
dates 20230123
mrcbC20-s 20230127
place Ostrava
country CZ
RIV BC
FORD0 10000
FORD1 10100
FORD2 10102
reportyear 2024
num_of_auth 3
mrcbC47 UIVT-O 10000 10100 10101
presentation_type PO
inst_support RVO:67985556
inst_support RVO:67985807
permalink https://hdl.handle.net/11104/0339944
cooperation
ARLID cav_un_auth*0445280
name Faculty of Pharmacy, Charles University, Hradec Králové
country CZ
confidential S
arlyear 2023
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU56 poster
mrcbU63 cav_un_epca*0568674 Proceedings of the Seminar on Numerical Analysis & Winter School /SNA' 23/ Institute of Geonics of the Czech Academy of Sciences 2023 Ostrava 56 59 978-80-86407-85-2
mrcbU67 Starý Jiří 340
mrcbU67 Sysala Stanislav 340
mrcbU67 Sysalová Dagmar 340