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Journal Abstract Search

103 related items for PubMed ID: 19947777

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  • 3. Role of phosphate in the central metabolism of two lactic acid bacteria--a comparative systems biology approach.
    Levering J, Musters MW, Bekker M, Bellomo D, Fiedler T, de Vos WM, Hugenholtz J, Kreikemeyer B, Kummer U, Teusink B.
    FEBS J; 2012 Apr; 279(7):1274-90. PubMed ID: 22325620
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  • 6. The metabolic pH response in Lactococcus lactis: an integrative experimental and modelling approach.
    Andersen AZ, Carvalho AL, Neves AR, Santos H, Kummer U, Olsen LF.
    Comput Biol Chem; 2009 Feb; 33(1):71-83. PubMed ID: 18829387
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  • 7. Parameter estimation in modulated, unbranched reaction chains within biochemical systems.
    Lall R, Voit EO.
    Comput Biol Chem; 2005 Oct; 29(5):309-18. PubMed ID: 16213792
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  • 8. Experimental determination of control of glycolysis in Lactococcus lactis.
    Koebmann BJ, Andersen HW, Solem C, Jensen PR.
    Antonie Van Leeuwenhoek; 2002 Aug; 82(1-4):237-48. PubMed ID: 12369190
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  • 9. Regulation of glycolysis in Lactococcus lactis: an unfinished systems biological case study.
    Voit EO, Almeida J, Marino S, Lall R, Goel G, Neves AR, Santos H.
    Syst Biol (Stevenage); 2006 Jul; 153(4):286-98. PubMed ID: 16986630
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  • 10. Quantitative estimation of channeling from early glycolytic intermediates to CO in intact Escherichia coli.
    Shearer G, Lee JC, Koo JA, Kohl DH.
    FEBS J; 2005 Jul; 272(13):3260-9. PubMed ID: 15978033
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  • 11. Estimation of dynamic flux profiles from metabolic time series data.
    Chou IC, Voit EO.
    BMC Syst Biol; 2012 Jul 09; 6():84. PubMed ID: 22776140
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  • 12. Time dependent responses of glycolytic intermediates in a detailed glycolytic model of Lactococcus lactis during glucose run-out experiments.
    Hoefnagel MH, van der Burgt A, Martens DE, Hugenholtz J, Snoep JL.
    Mol Biol Rep; 2002 Jul 09; 29(1-2):157-61. PubMed ID: 12241048
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  • 13. A data integration approach for cell cycle analysis oriented to model simulation in systems biology.
    Alfieri R, Merelli I, Mosca E, Milanesi L.
    BMC Syst Biol; 2007 Aug 01; 1():35. PubMed ID: 17678529
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  • 14. A simplified method for power-law modelling of metabolic pathways from time-course data and steady-state flux profiles.
    Kitayama T, Kinoshita A, Sugimoto M, Nakayama Y, Tomita M.
    Theor Biol Med Model; 2006 Jul 17; 3():24. PubMed ID: 16846504
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  • 17. Optimal sampling time selection for parameter estimation in dynamic pathway modeling.
    Kutalik Z, Cho KH, Wolkenhauer O.
    Biosystems; 2004 Jul 17; 75(1-3):43-55. PubMed ID: 15245803
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  • 18. Kinetic modeling and sensitivity analysis of xylose metabolism in Lactococcus lactis IO-1.
    Oshiro M, Shinto H, Tashiro Y, Miwa N, Sekiguchi T, Okamoto M, Ishizaki A, Sonomoto K.
    J Biosci Bioeng; 2009 Nov 17; 108(5):376-84. PubMed ID: 19804860
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