Kinetic modeling as a tool to integrate multilevel dynamic experimental data.
The metabolic networks are the most well-studied biochemical systems, with an abundance of in vitro and in vivo data available for quantitative estimation of its kinetic parameters. In this chapter, we present our approach to developing mathematical description of metabolic pathways. The model-based integration of reaction kinetics and the utilization of different types of experimental data including temporal dependencies have been described in detail. Software package DBSolve7 which allows us to develop kinetic model of the biochemical system and integrate experimental data has been presented.
Mogilevskaya
Ekaterina
E
Institute for Systems Biology SPb, Moscow, Russia.
Bagrova
Natalia
N
Plyusnina
Tatiana
T
Gizzatkulov
Nail
N
Metelkin
Eugeniy
E
Goryacheva
Ekaterina
E
Smirnov
Sergey
S
Kosinsky
Yuriy
Y
Dorodnov
Aleksander
A
Peskov
Kirill
K
Karelina
Tatiana
T
Goryanin
Igor
I
Demin
Oleg
O
D004798:Enzymes / Q000737:chemistry / Q000378:metabolism; D004926:Escherichia coli / Q000201:enzymology; D007700:Kinetics; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D012984:Software
D004798:Enzymes