Literature DB >> 16003779

Approximative kinetic formats used in metabolic network modeling.

Joseph J Heijnen1.   

Abstract

An overview is presented of the different approximative enzyme kinetic formats that have been proposed for use in metabolic modeling studies. It is considered that the following four general properties are relevant for approximative kinetics: the rate must be proportional to enzyme level; at high metabolite concentrations, there is downward concave behavior of rate versus concentration; the number of kinetic parameters should be as small as possible; analytical solutions of steady-state network balances are desirable. Six different approximative kinetic formats are evaluated (linear, logarithmic-linear, power law GMA, power law S-systems, thermokinetic, linear-logarithmic) and it is concluded that only the recently proposed linear-logarithmic approach combines all desired properties and therefore seems a most appropriate approximate kinetic format. Copyright 2005 Wiley Periodicals, Inc

Mesh:

Substances:

Year:  2005        PMID: 16003779     DOI: 10.1002/bit.20558

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  36 in total

1.  Simulating plant metabolic pathways with enzyme-kinetic models.

Authors:  Kai Schallau; Björn H Junker
Journal:  Plant Physiol       Date:  2010-01-29       Impact factor: 8.340

Review 2.  Subcellular metabolic organization in the context of dynamic energy budget and biochemical systems theories.

Authors:  S Vinga; A R Neves; H Santos; B W Brandt; S A L M Kooijman
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-11-12       Impact factor: 6.237

3.  Efficient classification of complete parameter regions based on semidefinite programming.

Authors:  Lars Kuepfer; Uwe Sauer; Pablo A Parrilo
Journal:  BMC Bioinformatics       Date:  2007-01-15       Impact factor: 3.169

4.  On the identifiability of metabolic network models.

Authors:  Sara Berthoumieux; Matteo Brilli; Daniel Kahn; Hidde de Jong; Eugenio Cinquemani
Journal:  J Math Biol       Date:  2012-11-15       Impact factor: 2.259

5.  Nonparametric dynamic modeling.

Authors:  Mojdeh Faraji; Eberhard O Voit
Journal:  Math Biosci       Date:  2016-08-30       Impact factor: 2.144

Review 6.  The best models of metabolism.

Authors:  Eberhard O Voit
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2017-05-19

7.  Dynamics and control of the central carbon metabolism in hepatoma cells.

Authors:  Klaus Maier; Ute Hofmann; Matthias Reuss; Klaus Mauch
Journal:  BMC Syst Biol       Date:  2010-04-28

8.  Do DNA microarrays tell the story of gene expression?

Authors:  Simon Rosenfeld
Journal:  Gene Regul Syst Bio       Date:  2010-06-29

Review 9.  Recent developments in parameter estimation and structure identification of biochemical and genomic systems.

Authors:  I-Chun Chou; Eberhard O Voit
Journal:  Math Biosci       Date:  2009-03-25       Impact factor: 2.144

10.  Dynamics of glycolytic regulation during adaptation of Saccharomyces cerevisiae to fermentative metabolism.

Authors:  Joost van den Brink; André B Canelas; Walter M van Gulik; Jack T Pronk; Joseph J Heijnen; Johannes H de Winde; Pascale Daran-Lapujade
Journal:  Appl Environ Microbiol       Date:  2008-07-18       Impact factor: 4.792

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.