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Journal Abstract Search

568 related items for PubMed ID: 11175725

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  • 2. Characterizing Escherichia coli DH5alpha growth and metabolism in a complex medium using genome-scale flux analysis.
    Selvarasu S, Ow DS, Lee SY, Lee MM, Oh SK, Karimi IA, Lee DY.
    Biotechnol Bioeng; 2009 Feb 15; 102(3):923-34. PubMed ID: 18853410
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  • 8. Development of a software tool for in silico simulation of Escherichia coli using a visual programming environment.
    Lee SG, Kim CM, Hwang KS.
    J Biotechnol; 2005 Sep 22; 119(1):87-92. PubMed ID: 15996785
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  • 9. Escherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth.
    Ibarra RU, Edwards JS, Palsson BO.
    Nature; 2002 Nov 14; 420(6912):186-9. PubMed ID: 12432395
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  • 10. Using metabolic flux data to further constrain the metabolic solution space and predict internal flux patterns: the Escherichia coli spectrum.
    Wiback SJ, Mahadevan R, Palsson BØ.
    Biotechnol Bioeng; 2004 May 05; 86(3):317-31. PubMed ID: 15083512
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  • 14. Comparison of different strategies to reduce acetate formation in Escherichia coli.
    De Mey M, Lequeux GJ, Beauprez JJ, Maertens J, Van Horen E, Soetaert WK, Vanrolleghem PA, Vandamme EJ.
    Biotechnol Prog; 2007 May 05; 23(5):1053-63. PubMed ID: 17715942
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  • 17. Integrating cybernetic modeling with pathway analysis provides a dynamic, systems-level description of metabolic control.
    Young JD, Henne KL, Morgan JA, Konopka AE, Ramkrishna D.
    Biotechnol Bioeng; 2008 Jun 15; 100(3):542-59. PubMed ID: 18438875
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  • 18. Genome-scale models of microbial cells: evaluating the consequences of constraints.
    Price ND, Reed JL, Palsson BØ.
    Nat Rev Microbiol; 2004 Nov 15; 2(11):886-97. PubMed ID: 15494745
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  • 19. Metabolic network structure determines key aspects of functionality and regulation.
    Stelling J, Klamt S, Bettenbrock K, Schuster S, Gilles ED.
    Nature; 2002 Nov 14; 420(6912):190-3. PubMed ID: 12432396
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  • 20. Exploring the effects of carbon sources on the metabolic capacity for shikimic acid production in Escherichia coli using in silico metabolic predictions.
    Ahn JO, Lee HW, Saha R, Park MS, Jung JK, Lee DY.
    J Microbiol Biotechnol; 2008 Nov 14; 18(11):1773-84. PubMed ID: 19047820
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