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Journal Abstract Search

376 related items for PubMed ID: 17238207

  • 1. Identification of flux regulation coefficients from elementary flux modes: A systems biology tool for analysis of metabolic networks.
    Nookaew I, Meechai A, Thammarongtham C, Laoteng K, Ruanglek V, Cheevadhanarak S, Nielsen J, Bhumiratana S.
    Biotechnol Bioeng; 2007 Aug 15; 97(6):1535-49. PubMed ID: 17238207
    [Abstract] [Full Text] [Related]

  • 2. A hybrid model of anaerobic E. coli GJT001: combination of elementary flux modes and cybernetic variables.
    Kim JI, Varner JD, Ramkrishna D.
    Biotechnol Prog; 2008 Aug 15; 24(5):993-1006. PubMed ID: 19194908
    [Abstract] [Full Text] [Related]

  • 3. Computation of elementary modes: a unifying framework and the new binary approach.
    Gagneur J, Klamt S.
    BMC Bioinformatics; 2004 Nov 04; 5():175. PubMed ID: 15527509
    [Abstract] [Full Text] [Related]

  • 4. Metabolic flux analysis of the sterol pathway in the yeast Saccharomyces cerevisiae.
    Maczek J, Junne S, Nowak P, Goetz P.
    Bioprocess Biosyst Eng; 2006 Oct 04; 29(4):241-52. PubMed ID: 16838149
    [Abstract] [Full Text] [Related]

  • 5. A quadratic programming approach for decomposing steady-state metabolic flux distributions onto elementary modes.
    Schwartz JM, Kanehisa M.
    Bioinformatics; 2005 Sep 01; 21 Suppl 2():ii204-5. PubMed ID: 16204104
    [Abstract] [Full Text] [Related]

  • 6. Continuous modeling of metabolic networks with gene regulation in yeast and in vivo determination of rate parameters.
    Moisset P, Vaisman D, Cintolesi A, Urrutia J, Rapaport I, Andrews BA, Asenjo JA.
    Biotechnol Bioeng; 2012 Sep 01; 109(9):2325-39. PubMed ID: 22447363
    [Abstract] [Full Text] [Related]

  • 7. Generalized concept of minimal cut sets in biochemical networks.
    Klamt S.
    Biosystems; 2006 Sep 01; 83(2-3):233-47. PubMed ID: 16303240
    [Abstract] [Full Text] [Related]

  • 8. Prediction of metabolic function from limited data: Lumped hybrid cybernetic modeling (L-HCM).
    Song HS, Ramkrishna D.
    Biotechnol Bioeng; 2010 Jun 01; 106(2):271-84. PubMed ID: 20148411
    [Abstract] [Full Text] [Related]

  • 9. Systematic development of hybrid cybernetic models: application to recombinant yeast co-consuming glucose and xylose.
    Song HS, Morgan JA, Ramkrishna D.
    Biotechnol Bioeng; 2009 Aug 01; 103(5):984-1002. PubMed ID: 19449391
    [Abstract] [Full Text] [Related]

  • 10. Functional stoichiometric analysis of metabolic networks.
    Urbanczik R, Wagner C.
    Bioinformatics; 2005 Nov 15; 21(22):4176-80. PubMed ID: 16188931
    [Abstract] [Full Text] [Related]

  • 11. Composition of metabolic flux distributions by functionally interpretable minimal flux modes (MinModes).
    Hoffmann S, Hoppe A, Holzhütter HG.
    Genome Inform; 2006 Nov 15; 17(1):195-207. PubMed ID: 17503369
    [Abstract] [Full Text] [Related]

  • 12. Integrative model of the response of yeast to osmotic shock.
    Klipp E, Nordlander B, Krüger R, Gennemark P, Hohmann S.
    Nat Biotechnol; 2005 Aug 15; 23(8):975-82. PubMed ID: 16025103
    [Abstract] [Full Text] [Related]

  • 13. Genome-wide system analysis reveals stable yet flexible network dynamics in yeast.
    Gustafsson M, Hörnquist M, Björkegren J, Tegnér J.
    IET Syst Biol; 2009 Jul 15; 3(4):219-28. PubMed ID: 19640161
    [Abstract] [Full Text] [Related]

  • 14. Predicting novel pathways in genome-scale metabolic networks.
    Schuster S, de Figueiredo LF, Kaleta C.
    Biochem Soc Trans; 2010 Oct 15; 38(5):1202-5. PubMed ID: 20863284
    [Abstract] [Full Text] [Related]

  • 15. Use of maximum entropy principle with Lagrange multipliers extends the feasibility of elementary mode analysis.
    Zhao Q, Kurata H.
    J Biosci Bioeng; 2010 Aug 15; 110(2):254-61. PubMed ID: 20547341
    [Abstract] [Full Text] [Related]

  • 16. Tools-4-Metatool (T4M): online suite of web-tools to process stoichiometric network analysis data from Metatool.
    Xavier D, Vázquez S, Higuera C, Morán F, Montero F.
    Biosystems; 2011 Aug 15; 105(2):169-72. PubMed ID: 21554926
    [Abstract] [Full Text] [Related]

  • 17. Integration of enzyme activities into metabolic flux distributions by elementary mode analysis.
    Kurata H, Zhao Q, Okuda R, Shimizu K.
    BMC Syst Biol; 2007 Jul 18; 1():31. PubMed ID: 17640350
    [Abstract] [Full Text] [Related]

  • 18. Integrated network reconstruction, visualization and analysis using YANAsquare.
    Schwarz R, Liang C, Kaleta C, Kühnel M, Hoffmann E, Kuznetsov S, Hecker M, Griffiths G, Schuster S, Dandekar T.
    BMC Bioinformatics; 2007 Aug 28; 8():313. PubMed ID: 17725829
    [Abstract] [Full Text] [Related]

  • 19. Effect of carbon source perturbations on transcriptional regulation of metabolic fluxes in Saccharomyces cerevisiae.
    Cakir T, Kirdar B, Onsan ZI, Ulgen KO, Nielsen J.
    BMC Syst Biol; 2007 Mar 27; 1():18. PubMed ID: 17408508
    [Abstract] [Full Text] [Related]

  • 20. System-level insights into yeast metabolism by thermodynamic analysis of elementary flux modes.
    Jol SJ, Kümmel A, Terzer M, Stelling J, Heinemann M.
    PLoS Comput Biol; 2012 Mar 27; 8(3):e1002415. PubMed ID: 22416224
    [Abstract] [Full Text] [Related]

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