The Use of Reaction Network Theory for Finding Network Motifs in Oscillatory Mechanisms and Kinetic Parameter Estimation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F20%3A43921405" target="_blank" >RIV/60461373:22340/20:43921405 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-981-15-0422-8_2" target="_blank" >https://link.springer.com/chapter/10.1007/978-981-15-0422-8_2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-981-15-0422-8_2" target="_blank" >10.1007/978-981-15-0422-8_2</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The Use of Reaction Network Theory for Finding Network Motifs in Oscillatory Mechanisms and Kinetic Parameter Estimation

Popis výsledku v původním jazyce

Stoichiometric network analysis (SNA) is a method of studying stability of steady states of reaction systems obeying mass action kinetics. Reaction rates are expressed as a linear combination of elementary subnetworks with nonnegative coefficients (convex parameters) as opposed to standard formulation using rate coefficients and input parameters (kinetic parameters). We present examples of core reaction subnetworks that provide for oscillatory instability. Frequently there is an autocatalytic cycle in the core subnetwork, but in biochemical reactions such cycle is often replaced by a pathway called competitive autocatalysis. Rate coefficients in complex networks are often only partly known. We present a method of estimating the unknown rate coefficients, in which known/measured kinetic parameters and steady state concentrations are used to determine convex parameters, which in turn allows for determination of unknown rate coefficients by solving a set of constraint equations. © 2020, Springer Nature Singapore Pte Ltd.

Název v anglickém jazyce

The Use of Reaction Network Theory for Finding Network Motifs in Oscillatory Mechanisms and Kinetic Parameter Estimation

Popis výsledku anglicky

Stoichiometric network analysis (SNA) is a method of studying stability of steady states of reaction systems obeying mass action kinetics. Reaction rates are expressed as a linear combination of elementary subnetworks with nonnegative coefficients (convex parameters) as opposed to standard formulation using rate coefficients and input parameters (kinetic parameters). We present examples of core reaction subnetworks that provide for oscillatory instability. Frequently there is an autocatalytic cycle in the core subnetwork, but in biochemical reactions such cycle is often replaced by a pathway called competitive autocatalysis. Rate coefficients in complex networks are often only partly known. We present a method of estimating the unknown rate coefficients, in which known/measured kinetic parameters and steady state concentrations are used to determine convex parameters, which in turn allows for determination of unknown rate coefficients by solving a set of constraint equations. © 2020, Springer Nature Singapore Pte Ltd.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20401 - Chemical engineering (plants, products)

Projekt

<a href="/cs/project/GA18-24397S" target="_blank" >GA18-24397S: Analýza reakčních sítí s omezujícími podmínkami - nástroj pro experimentální validaci modelů biochemických a fotobiologických reaktorů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Mathematical Analysis and Applications in Modeling ICMAAM 2018

ISBN

978-981-15-0421-1

ISSN

—

e-ISSN

—

Počet stran výsledku

11

Strana od-do

13-23

Název nakladatele

Springer Nature Switzerland

Místo vydání

Basel

Místo konání akce

Kolkata

Datum konání akce

9. 1. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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