| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0546360 |
| utime |
20250121152513.0 |
| mtime |
20211008235959.9 |
| WOS |
000714393600097 |
| DOI |
10.1016/j.ifacol.2021.10.317 |
| title
(primary) (eng) |
Analysis of a Model Reduction Method (D-QSSA) applied to a Class of Biochemical Networks |
| specification |
| page_count |
6 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0547616 |
| ISSN |
2405-8963 |
| title
|
IFAC-PapersOnLine.Volume 54, Issue 15 - 11th IFAC Symposium on Biological and Medical Systems BMS 2021 |
| page_num |
568-573 |
| publisher |
| place |
Amsterdam |
| name |
Elsevier |
| year |
2021 |
|
|
| keyword |
Biochemical reaction network |
| keyword |
Model reduction |
| keyword |
D-QSSA method |
| keyword |
Model parameter estimation |
| 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) |
TŘ |
| department (eng) |
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) |
TŘ |
| department |
TR |
| full_dept |
Department of Control Theory |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0215855 |
| name1 |
Lynnyk |
| name2 |
Volodymyr |
| institution |
UTIA-B |
| full_dept (cz) |
Teorie řízení |
| full_dept |
Department of Control Theory |
| department (cz) |
TŘ |
| department |
TR |
| full_dept |
Department of Control Theory |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0414979 |
| name1 |
Lynnyk |
| name2 |
Anna |
| institution |
UTIA-B |
| full_dept (cz) |
Teorie řízení |
| full_dept |
Department of Control Theory |
| department (cz) |
TŘ |
| department |
TR |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GA19-05872S |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0376352 |
|
| abstract
(eng) |
This paper is aimed to develop and test one novel and unexplored enhancement of the classical model reduction method applied to a class of biochemical networks. Both methods, being (i) the standard quasi-steady-state approximation (QSSA), and (ii) the so-called delayed-QSSA methods are extensively presented. Specially, the numerical issues related to the setting of constant delays are discussed. Finally, for one slightly modi ed version of an enzymesubstrate reaction network (Michaelis-Menten kinetics), the comparison of the full non-reduced system behavior with respective variants of reduced model is presented and future prospects are\nproposed. |
| action |
| ARLID |
cav_un_auth*0414980 |
| name |
Biological and Medical Systems - 11th IFAC Symposium BMS 2021™, Ghent, Belgium |
| dates |
20210919 |
| mrcbC20-s |
20210922 |
| place |
Ghent |
| country |
BE |
|
| RIV |
BC |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10102 |
| reportyear |
2022 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0322887 |
| confidential |
S |
| contract |
|
| mrcbT16-s |
0.332 |
| mrcbT16-E |
Q4 |
| arlyear |
2021 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000714393600097 WOS |
| mrcbU56 |
konferenční příspěvek 374 KB |
| mrcbU63 |
cav_un_epca*0547616 IFAC-PapersOnLine.Volume 54, Issue 15 - 11th IFAC Symposium on Biological and Medical Systems BMS 2021 Elsevier 2021 Amsterdam 568 573 2405-8963 |
|