Kinetic Modeling as a Tool to Integrate Multilevel Dynamic Experimental Data

Ekaterina Mogilevskaya, Natalia Bagrova, Tatiana Plyusnina, Nail Gizzatkulov, Eugeniy Metelkin, Ekaterina Goryacheva, Sergey Smirnov, Yuriy Kosinsky, Aleksander Dorodnov, Kirill Peskov, Tatiana Karelina, Igor Goryanin, Oleg Demin

Research output: Chapter in Book/Report/Conference proceedingChapter


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.
Original languageEnglish
Title of host publicationProtein Networks and Pathway Analysis
EditorsYuri Nikolsky, Julie Bryant
PublisherHumana Press
Number of pages22
ISBN (Electronic)978-1-60761-175-2
ISBN (Print)978-1-60761-174-5
Publication statusPublished - 2009

Publication series

NameMethods in Molecular Biology
PublisherHumana Press
ISSN (Print)1064-3745


  • Kinetic modeling
  • metabolic pathways
  • DBSolve7
  • integration of experimental data


Dive into the research topics of 'Kinetic Modeling as a Tool to Integrate Multilevel Dynamic Experimental Data'. Together they form a unique fingerprint.

Cite this