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

doi:10.1007/978-1-60761-175-2_11

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

School of Informatics

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract / Description of output

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 language	English
Title of host publication	Protein Networks and Pathway Analysis
Editors	Yuri Nikolsky, Julie Bryant
Publisher	Humana Press
Pages	197-218
Number of pages	22
Volume	563
ISBN (Electronic)	978-1-60761-175-2
ISBN (Print)	978-1-60761-174-5
DOIs	https://doi.org/10.1007/978-1-60761-175-2_11
Publication status	Published - 2009

Publication series

Name	Methods in Molecular Biology
Publisher	Humana Press
ISSN (Print)	1064-3745

Keywords / Materials (for Non-textual outputs)

Kinetic modeling
metabolic pathways
DBSolve7
integration of experimental data

Access to Document

10.1007/978-1-60761-175-2_11

http://link.springer.com/protocol/10.1007%2F978-1-60761-175-2_11

Cite this

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. (2009). Kinetic Modeling as a Tool to Integrate Multilevel Dynamic Experimental Data. In Y. Nikolsky, & J. Bryant (Eds.), Protein Networks and Pathway Analysis (Vol. 563, pp. 197-218). (Methods in Molecular Biology). Humana Press. https://doi.org/10.1007/978-1-60761-175-2_11

@inbook{5f231c8e6be341498ba0d81fea7158c3,

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.",

keywords = "Kinetic modeling, metabolic pathways, DBSolve7, integration of experimental data",

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

year = "2009",

doi = "10.1007/978-1-60761-175-2_11",

language = "English",

isbn = "978-1-60761-174-5",

volume = "563",

series = "Methods in Molecular Biology",

publisher = "Humana Press",

pages = "197--218",

editor = "Yuri Nikolsky and Julie Bryant",

booktitle = "Protein Networks and Pathway Analysis",

}

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 2009, Kinetic Modeling as a Tool to Integrate Multilevel Dynamic Experimental Data. in Y Nikolsky & J Bryant (eds), Protein Networks and Pathway Analysis. vol. 563, Methods in Molecular Biology, Humana Press, pp. 197-218. https://doi.org/10.1007/978-1-60761-175-2_11

TY - CHAP

T1 - Kinetic Modeling as a Tool to Integrate Multilevel Dynamic Experimental Data

AU - Mogilevskaya, Ekaterina

AU - Bagrova, Natalia

AU - Plyusnina, Tatiana

AU - Gizzatkulov, Nail

AU - Metelkin, Eugeniy

AU - Goryacheva, Ekaterina

AU - Smirnov, Sergey

AU - Kosinsky, Yuriy

AU - Dorodnov, Aleksander

AU - Peskov, Kirill

AU - Karelina, Tatiana

AU - Goryanin, Igor

AU - Demin, Oleg

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - Kinetic modeling

KW - metabolic pathways

KW - DBSolve7

KW - integration of experimental data

U2 - 10.1007/978-1-60761-175-2_11

DO - 10.1007/978-1-60761-175-2_11

M3 - Chapter

SN - 978-1-60761-174-5

VL - 563

T3 - Methods in Molecular Biology

SP - 197

EP - 218

BT - Protein Networks and Pathway Analysis

A2 - Nikolsky, Yuri

A2 - Bryant, Julie

PB - Humana Press

ER -

Kinetic Modeling as a Tool to Integrate Multilevel Dynamic Experimental Data

Abstract / Description of output

Publication series

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Cite this