SpringerProtocols: Abstract: Kinetic Modeling as a Tool to Integrate Multilevel Dynamic Experimental Data

11. Kinetic Modeling as a Tool to Integrate Multilevel Dynamic Experimental Data

By: Ekaterina Mogilevskaya¹, Natalia Bagrova¹, Tatiana Plyusnina¹, Nail Gizzatkulov¹, Eugeniy Metelkin¹, Ekaterina Goryacheva¹, Sergey Smirnov¹, Yuriy Kosinsky¹, Aleksander Dorodnov¹, Kirill Peskov¹, Tatiana Karelina¹, Igor Goryanin², Oleg Demin¹

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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.

Affiliation(s): (1) Institute for Systems Biology SPb, Moscow, Russia
(2) Edinburgh University, Edinburgh, UK

Book Title: Protein Networks and Pathway Analysis

Series: Methods in Molecular Biology | Volume: 563 | Pub. Date: Jul-01-2009 | Page Range: 197-218 | DOI: 10.1007/978-1-60761-175-2_11

Subject: Protein Science

Key Words: Kinetic modeling - metabolic pathways - DBSolve7 - integration of experimental data

References

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