Literature DB >> 23892076

The average enzyme principle.

Ed Reznik1, Osman Chaudhary, Daniel Segrè.   

Abstract

The Michaelis-Menten equation for an irreversible enzymatic reaction depends linearly on the enzyme concentration. Even if the enzyme concentration changes in time, this linearity implies that the amount of substrate depleted during a given time interval depends only on the average enzyme concentration. Here, we use a time re-scaling approach to generalize this result to a broad category of multi-reaction systems, whose constituent enzymes have the same dependence on time, e.g. they belong to the same regulon. This "average enzyme principle" provides a natural methodology for jointly studying metabolism and its regulation.
Copyright © 2013 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Enzyme kinetics; Enzyme regulation; Metabolic network; Michaelis–Menten; Systems biology

Mesh:

Substances:

Year:  2013        PMID: 23892076      PMCID: PMC3983706          DOI: 10.1016/j.febslet.2013.07.032

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


  19 in total

1.  Global network reorganization during dynamic adaptations of Bacillus subtilis metabolism.

Authors:  Joerg Martin Buescher; Wolfram Liebermeister; Matthieu Jules; Markus Uhr; Jan Muntel; Eric Botella; Bernd Hessling; Roelco Jacobus Kleijn; Ludovic Le Chat; François Lecointe; Ulrike Mäder; Pierre Nicolas; Sjouke Piersma; Frank Rügheimer; Dörte Becher; Philippe Bessieres; Elena Bidnenko; Emma L Denham; Etienne Dervyn; Kevin M Devine; Geoff Doherty; Samuel Drulhe; Liza Felicori; Mark J Fogg; Anne Goelzer; Annette Hansen; Colin R Harwood; Michael Hecker; Sebastian Hubner; Claus Hultschig; Hanne Jarmer; Edda Klipp; Aurélie Leduc; Peter Lewis; Frank Molina; Philippe Noirot; Sabine Peres; Nathalie Pigeonneau; Susanne Pohl; Simon Rasmussen; Bernd Rinn; Marc Schaffer; Julian Schnidder; Benno Schwikowski; Jan Maarten Van Dijl; Patrick Veiga; Sean Walsh; Anthony J Wilkinson; Jörg Stelling; Stéphane Aymerich; Uwe Sauer
Journal:  Science       Date:  2012-03-02       Impact factor: 47.728

Review 2.  Slow transitions and hysteretic behavior in enzymes.

Authors:  C Frieden
Journal:  Annu Rev Biochem       Date:  1979       Impact factor: 23.643

3.  Kinetic aspects of regulation of metabolic processes. The hysteretic enzyme concept.

Authors:  C Frieden
Journal:  J Biol Chem       Date:  1970-11-10       Impact factor: 5.157

4.  A synthetic gene-metabolic oscillator.

Authors:  Eileen Fung; Wilson W Wong; Jason K Suen; Thomas Bulter; Sun-gu Lee; James C Liao
Journal:  Nature       Date:  2005-05-05       Impact factor: 49.962

5.  Invariance and optimality in the regulation of an enzyme.

Authors:  Ed Reznik; Stefan Yohe; Daniel Segrè
Journal:  Biol Direct       Date:  2013-03-22       Impact factor: 4.540

6.  Detection of transcriptional triggers in the dynamics of microbial growth: application to the respiratorily versatile bacterium Shewanella oneidensis.

Authors:  Qasim K Beg; Mattia Zampieri; Niels Klitgord; Sara B Collins; Claudio Altafini; Margrethe H Serres; Daniel Segrè
Journal:  Nucleic Acids Res       Date:  2012-05-25       Impact factor: 16.971

7.  Optimal regulatory strategies for metabolic pathways in Escherichia coli depending on protein costs.

Authors:  Frank Wessely; Martin Bartl; Reinhard Guthke; Pu Li; Stefan Schuster; Christoph Kaleta
Journal:  Mol Syst Biol       Date:  2011-07-19       Impact factor: 11.429

8.  Large-scale mapping and validation of Escherichia coli transcriptional regulation from a compendium of expression profiles.

Authors:  Jeremiah J Faith; Boris Hayete; Joshua T Thaden; Ilaria Mogno; Jamey Wierzbowski; Guillaume Cottarel; Simon Kasif; James J Collins; Timothy S Gardner
Journal:  PLoS Biol       Date:  2007-01       Impact factor: 8.029

Review 9.  Applications of genome-scale metabolic reconstructions.

Authors:  Matthew A Oberhardt; Bernhard Ø Palsson; Jason A Papin
Journal:  Mol Syst Biol       Date:  2009-11-03       Impact factor: 11.429

10.  Metabolomics-driven quantitative analysis of ammonia assimilation in E. coli.

Authors:  Jie Yuan; Christopher D Doucette; William U Fowler; Xiao-Jiang Feng; Matthew Piazza; Herschel A Rabitz; Ned S Wingreen; Joshua D Rabinowitz
Journal:  Mol Syst Biol       Date:  2009-08-18       Impact factor: 11.429

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