Literature DB >> 17239859

Dynamic simulation of an in vitro multi-enzyme system.

Nobuyoshi Ishii1, Yoshihiro Suga, Akiko Hagiya, Hisami Watanabe, Hirotada Mori, Masataka Yoshino, Masaru Tomita.   

Abstract

Parameters often are tuned with metabolite concentration time series data to build a dynamic model of metabolism. However, such tuning may reduce the extrapolation ability (generalization capability) of the model. In this study, we determined detailed kinetic parameters of three purified Escherichia coli glycolytic enzymes using the initial velocity method for individual enzymes; i.e., the parameters were determined independently from metabolite concentration time series data. The metabolite concentration time series calculated by the model using the parameters matched the experimental data obtained in an actual multi-enzyme system consisting of the three purified E. coli glycolytic enzymes. Thus, the results indicate that kinetic parameters can be determined without using an undesirable tuning process.

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Year:  2007        PMID: 17239859     DOI: 10.1016/j.febslet.2006.12.049

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  7 in total

1.  Analysis of signaling networks distributed over intracellular compartments based on protein-protein interactions.

Authors:  Olga Vasil'evna Popik; Olga Vladimirovna Saik; Evgeny Dmitrievich Petrovskiy; Björn Sommer; Ralf Hofestädt; Inna Nikolaevna Lavrik; Vladimir Aleksandrovich Ivanisenko
Journal:  BMC Genomics       Date:  2014-12-19       Impact factor: 3.969

2.  Piecewise linear and Boolean models of chemical reaction networks.

Authors:  Alan Veliz-Cuba; Ajit Kumar; Krešimir Josić
Journal:  Bull Math Biol       Date:  2014-11-21       Impact factor: 1.758

3.  Design of experiments for identification of complex biochemical systems with applications to mitochondrial bioenergetics.

Authors:  Kalyan C Vinnakota; Daniel A Beard; Ranjan K Dash
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

4.  Modeling and simulation of the main metabolism in Escherichia coli and its several single-gene knockout mutants with experimental verification.

Authors:  Tuty Asmawaty Abdul Kadir; Ahmad A Mannan; Andrzej M Kierzek; Johnjoe McFadden; Kazuyuki Shimizu
Journal:  Microb Cell Fact       Date:  2010-11-19       Impact factor: 5.328

5.  Investigation on the mechanisms for biotransformation of saponins to diosgenin.

Authors:  Yuling Zhu; Hancan Zhu; Muqing Qiu; Tingting Zhu; Jinren Ni
Journal:  World J Microbiol Biotechnol       Date:  2013-07-17       Impact factor: 3.312

Review 6.  Expanding the boundary of biocatalysis: design and optimization of in vitro tandem catalytic reactions for biochemical production.

Authors:  Yajie Wang; Hengqian Ren; Huimin Zhao
Journal:  Crit Rev Biochem Mol Biol       Date:  2018-02-07       Impact factor: 8.250

7.  Systematic phenome analysis of Escherichia coli multiple-knockout mutants reveals hidden reactions in central carbon metabolism.

Authors:  Kenji Nakahigashi; Yoshihiro Toya; Nobuyoshi Ishii; Tomoyoshi Soga; Miki Hasegawa; Hisami Watanabe; Yuki Takai; Masayuki Honma; Hirotada Mori; Masaru Tomita
Journal:  Mol Syst Biol       Date:  2009-09-15       Impact factor: 11.429

  7 in total

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