Naslov
Lin-Log Kinetics: Case Study Of Mathematical Model Of Central Metabolism Response Of E. Coli Upon Glucose Impuls

Autori
Tušek, Ana ; Kurtanjek, Želimir

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
XXI Hrvatski skup kemičara i kemijskih inženjera / Novak, Predrag - Zagreb : Hrvatsko društvo kemijskih inženjera i tehnologa (HDKI), 2009, 240-240

ISBN
978-953-6894-38-3

Skup
XXI Hrvatski skup kemičara i kemijskih inženjera

Mjesto i datum
Trogir, Hrvatska, 19.04.2009. - 22.04.2009

Vrsta sudjelovanja
Poster

Vrsta recenzije
Domaća recenzija

Ključne riječi
Lin-log; E. coli; MCA

Sažetak
In this work a mathematical model based on lin-log kinetic formalism for analysis of dynamics and metabolism flux analysis is applied. The linear-logarithmic kinetics (lin-log kinetics) approach uses approximate functions to describe a rate of enzymatic reaction in metabolic network in a simple, concentration non-linear and parameter linear manner [1][2]. The reaction rate is proportional to the enzyme level while the effect of metabolite levels is described by a linear sum of non-linear logarithmic concentration terms [3]. Here the lin-log approach is applied for mathematical model describing metabolic response of the Escherichia coli central metabolism of upon glucose impulse. The model was developed by Degenring et al. [4] based on experimental data gathered by method of automated sampling and it was improved by Čerić and Kurtanjek [5]. Mathematical model is composed of 24 biochemical reactions and it includes 132 kinetic parameters. The purpose of applying lin-log approach on model of E. coli central metabolism is to get uniform format (structure of the lin-log equations is the same for all types of kinetics) and reduction of model parameter, what makes the model mathematically simpler. The results are compared with the classical modeling approach based on Michaelis-Menten kinetic rate expressions. The implications of the two modeling approaches are studied in view of metabolic flux analysis

Izvorni jezik
Engleski

Znanstvena područja
Biotehnologija

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