title: Kinetic modeling as a tool to integrate multilevel dynamic experimental data.
abstract: 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.
authors: Institute for Systems Biology SPb, Moscow, Russia.
authors: Ekaterina
authors: E
authors: Mogilevskaya
authors: Natalia
authors: N
authors: Bagrova
authors: Tatiana
authors: T
authors: Plyusnina
authors: Nail
authors: N
authors: Gizzatkulov
authors: Eugeniy
authors: E
authors: Metelkin
authors: Ekaterina
authors: E
authors: Goryacheva
authors: Sergey
authors: S
authors: Smirnov
authors: Yuriy
authors: Y
authors: Kosinsky
authors: Aleksander
authors: A
authors: Dorodnov
authors: Kirill
authors: K
authors: Peskov
authors: Tatiana
authors: T
authors: Karelina
authors: Igor
authors: I
authors: Goryanin
authors: Oleg
authors: O
authors: Demin
mesh_terms: D004798:Enzymes / Q000737:chemistry / Q000378:metabolism; D004926:Escherichia coli / Q000201:enzymology; D007700:Kinetics; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D012984:Software
chemical_list: D004798:Enzymes