Literature DB >> 24291302

Estimation of kinetic parameters in an S-system equation model for a metabolic reaction system using the Newton-Raphson method.

Michio Iwata1, Kansuporn Sriyudthsak2, Masami Yokota Hirai2, Fumihide Shiraishi3.   

Abstract

Metabolic reaction systems can be modeled easily in terms of S-system type equations if their metabolic maps are available. This study therefore proposes a method for estimating parameters in decoupled S-system equations on the basis of the Newton-Raphson method and elucidates the performance of this estimation method. Parameter estimation from the time-course data of metabolite concentrations reveals that the parameters estimated are highly accurate, indicating that the estimation algorithm has been constructed correctly. The number of iterations is small and the calculation converges in a very short time (usually less than 1s). The method is also applied to time course data with noise and found to estimate parameters efficiently. Results indicate that the present method has the potential to be extended to a method for estimating parameters in large-scale metabolic reaction systems.
Copyright © 2013 Elsevier Inc. All rights reserved.

Keywords:  Biochemical systems theory; Newton–Raphson method; Parameter estimation; Time course data

Mesh:

Year:  2013        PMID: 24291302     DOI: 10.1016/j.mbs.2013.11.002

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  3 in total

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Review 3.  Mathematical Modeling and Dynamic Simulation of Metabolic Reaction Systems Using Metabolome Time Series Data.

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  3 in total

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