Literature DB >> 8944154

MCA has more to say.

V Hatzimanikatis1, J E Bailey.   

Abstract

The recent development of two mathematical frameworks for the analysis and design of metabolic systems is reviewed here. Both frameworks employ a (log)linear kinetic metabolic model that is constructed making direct, explicit use of the individual enzyme kinetic parameters which are a foundation of Metabolic Control Analysis (MCA) information. The first framework allows the description of the dynamic responses of metabolic systems subject to fluctuations in their parameters. The second framework considers the problem of optimizing the regulatory structure of metabolic networks. Both frameworks are powerful in enabling greater insights into metabolism based on MCA quantities.

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Year:  1996        PMID: 8944154     DOI: 10.1006/jtbi.1996.0160

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  19 in total

1.  Metabolic control analysis under uncertainty: framework development and case studies.

Authors:  Liqing Wang; Inanç Birol; Vassily Hatzimanikatis
Journal:  Biophys J       Date:  2004-10-01       Impact factor: 4.033

2.  A model for protein translation: polysome self-organization leads to maximum protein synthesis rates.

Authors:  Hermioni Zouridis; Vassily Hatzimanikatis
Journal:  Biophys J       Date:  2006-11-10       Impact factor: 4.033

3.  Thermodynamics-based metabolic flux analysis.

Authors:  Christopher S Henry; Linda J Broadbelt; Vassily Hatzimanikatis
Journal:  Biophys J       Date:  2006-12-15       Impact factor: 4.033

4.  Analysis of operating principles with S-system models.

Authors:  Yun Lee; Po-Wei Chen; Eberhard O Voit
Journal:  Math Biosci       Date:  2011-03-04       Impact factor: 2.144

5.  Methanol assimilation in Methylobacterium extorquens AM1: demonstration of all enzymes and their regulation.

Authors:  Hana Smejkalová; Tobias J Erb; Georg Fuchs
Journal:  PLoS One       Date:  2010-10-01       Impact factor: 3.240

Review 6.  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

7.  Estimation of dynamic flux profiles from metabolic time series data.

Authors:  I-Chun Chou; Eberhard O Voit
Journal:  BMC Syst Biol       Date:  2012-07-09

8.  Modeling metabolic networks in C. glutamicum: a comparison of rate laws in combination with various parameter optimization strategies.

Authors:  Andreas Dräger; Marcel Kronfeld; Michael J Ziller; Jochen Supper; Hannes Planatscher; Jørgen B Magnus; Marco Oldiges; Oliver Kohlbacher; Andreas Zell
Journal:  BMC Syst Biol       Date:  2009-01-14

9.  Integrating systemic and molecular levels to infer key drivers sustaining metabolic adaptations.

Authors:  Pedro de Atauri; Míriam Tarrado-Castellarnau; Josep Tarragó-Celada; Carles Foguet; Effrosyni Karakitsou; Josep Joan Centelles; Marta Cascante
Journal:  PLoS Comput Biol       Date:  2021-07-23       Impact factor: 4.475

10.  Bridging the gap between gene expression and metabolic phenotype via kinetic models.

Authors:  Francisco G Vital-Lopez; Anders Wallqvist; Jaques Reifman
Journal:  BMC Syst Biol       Date:  2013-07-22
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