Literature DB >> 18636570

In vivo analysis of metabolic dynamics in Saccharomyces cerevisiae: II. Mathematical model.

M Rizzi1, M Baltes, U Theobald, M Reuss.   

Abstract

A mathematical model of glycolysis in Saccharomyces cerevisiae is presented. The model is based on rate equations for the individual reactions and aims to predict changes in the levels of intra- and extracellular metabolites after a glucose pulse, as described in part I of this study. Kinetic analysis focuses on a time scale of seconds, thereby neglecting biosynthesis of new enzymes. The model structure and experimental observations are related to the aerobic growth of the yeast. The model is based on material balance equations of the key metabolites in the extracellular environment, the cytoplasm and the mitochondria, and includes mechanistically based, experimentally matched rate equations for the individual enzymes. The model includes removal of metabolites from glycolysis and TCC for biosynthesis, and also compartmentation and translocation of adenine nucleotides. The model was verified by in vivo diagnosis of intracellular enzymes, which includes the decomposition of the network of reactions to reduce the number of parameters to be estimated simultaneously. Additionally, sensitivity analysis guarantees that only those parameters are estimated that contribute to systems trajectory with reasonable sensitivity. The model predictions and experimental observations agree reasonably well for most of the metabolites, except for pyruvate and adenine nucleotides. (c) 1997 John Wiley & Sons, Inc. Biotechnol Bioeng 55: 592-608, 1997.

Entities:  

Year:  1997        PMID: 18636570     DOI: 10.1002/(SICI)1097-0290(19970820)55:4<592::AID-BIT2>3.0.CO;2-C

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


  42 in total

Review 1.  Systems biology from micro-organisms to human metabolic diseases: the role of detailed kinetic models.

Authors:  Barbara M Bakker; Karen van Eunen; Jeroen A L Jeneson; Natal A W van Riel; Frank J Bruggeman; Bas Teusink
Journal:  Biochem Soc Trans       Date:  2010-10       Impact factor: 5.407

2.  Exploring the gap between dynamic and constraint-based models of metabolism.

Authors:  Daniel Machado; Rafael S Costa; Eugénio C Ferreira; Isabel Rocha; Bruce Tidor
Journal:  Metab Eng       Date:  2012-01-28       Impact factor: 9.783

Review 3.  Metabolic engineering of Saccharomyces cerevisiae.

Authors:  S Ostergaard; L Olsson; J Nielsen
Journal:  Microbiol Mol Biol Rev       Date:  2000-03       Impact factor: 11.056

4.  Simplified modelling of metabolic pathways for flux prediction and optimization: lessons from an in vitro reconstruction of the upper part of glycolysis.

Authors:  Julie B Fiévet; Christine Dillmann; Gilles Curien; Dominique de Vienne
Journal:  Biochem J       Date:  2006-06-01       Impact factor: 3.857

Review 5.  Towards the engineering of in vitro systems.

Authors:  Christoph Hold; Sven Panke
Journal:  J R Soc Interface       Date:  2009-05-27       Impact factor: 4.118

6.  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

7.  Parameter balancing in kinetic models of cell metabolism.

Authors:  Timo Lubitz; Marvin Schulz; Edda Klipp; Wolfram Liebermeister
Journal:  J Phys Chem B       Date:  2010-11-01       Impact factor: 2.991

8.  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

9.  Saccharomyces cerevisiae phenotypes can be predicted by using constraint-based analysis of a genome-scale reconstructed metabolic network.

Authors:  Iman Famili; Jochen Forster; Jens Nielsen; Bernhard O Palsson
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-24       Impact factor: 11.205

10.  Control of ATP homeostasis during the respiro-fermentative transition in yeast.

Authors:  Thomas Walther; Maite Novo; Katrin Rössger; Fabien Létisse; Marie-Odile Loret; Jean-Charles Portais; Jean-Marie François
Journal:  Mol Syst Biol       Date:  2010-01-19       Impact factor: 11.429

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