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Related Experiment Video

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Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

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Kinetic modeling as a tool to integrate multilevel dynamic experimental data.

Ekaterina Mogilevskaya¹, Natalia Bagrova, Tatiana Plyusnina

¹Institute for Systems Biology SPb, Moscow, Russia.

Methods in Molecular Biology (Clifton, N.J.)

|July 15, 2009

Summary

We present a method for creating mathematical models of metabolic pathways using reaction kinetics and experimental data. This approach aids in the quantitative estimation of kinetic parameters for biochemical systems.

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Area of Science:

Biochemistry
Systems Biology
Computational Biology

Background:

Metabolic networks are extensively studied biochemical systems.
Abundant in vitro and in vivo data exist for kinetic parameter estimation.

Purpose of the Study:

To present a method for developing mathematical descriptions of metabolic pathways.
To detail model-based integration of reaction kinetics and experimental data.

Main Methods:

Utilizing reaction kinetics for mathematical modeling.
Integrating diverse experimental data, including temporal dependencies.
Employing the DBSolve7 software package for model development and data integration.

Main Results:

A described approach for mathematical modeling of metabolic pathways.
Detailed integration of reaction kinetics and experimental data.
Presentation of the DBSolve7 software package.

Conclusions:

The presented approach enables the development of kinetic models for biochemical systems.
DBSolve7 facilitates the integration of experimental data for kinetic modeling.
This method aids in the quantitative estimation of kinetic parameters in metabolic networks.