Mogilevskaya E, Bagrova N, Plyusnina T, Gizzatkulov N, Metelkin E, Goryacheva E, Smirnov S, Kosinsky Y, Dorodnov A, Peskov K, Karelina T, Goryanin I, Demin O. Kinetic modeling as a tool to integrate multilevel dynamic experimental data.
Methods Mol Biol 2009;
563:197-218. [PMID:
19597787 DOI:
10.1007/978-1-60761-175-2_11]
[Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
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.
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