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  • 1
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Annals of the New York Academy of Sciences 589 (1990), S. 0 
    ISSN: 1749-6632
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Natural Sciences in General
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1573-6776
    Source: Springer Online Journal Archives 1860-2000
    Topics: Process Engineering, Biotechnology, Nutrition Technology
    Notes: Summary The recombinant Escherichia coli strain, TG2 (p1/1), can be used for biotransformation of toluene to toluene cis-glycol. However, toluene caused substantial inhibition of both growth and toluene cis-glycol production at concentrations above 0.04%. Tetradecane was found to be non-toxic at a phase ratio of 0.23 and provided protection against toluene toxicity. Thus, growth was still possible in the presence of 1.5% toluene. Furthermore, the yield of toluene cis-glycol was increased 1.7-fold compared with the yield in the absence of tetradecane.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    New York, NY [u.a.] : Wiley-Blackwell
    Biotechnology and Bioengineering 58 (1998), S. 267-271 
    ISSN: 0006-3592
    Keywords: metabolic engineering ; mathematical programming ; mixed integer nonlinear programming (MINLP) ; metabolic control analysis ; Dictyostelium discoideum ; tricarboxylic acid cycle ; Chemistry ; Biochemistry and Biotechnology
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Biology , Process Engineering, Biotechnology, Nutrition Technology
    Notes: The design of new generation bioprocessing plants is increasingly dependent on the design of process-compatible microorganisms. The latter, whether through genetic or physiological manipulations, can be greatly assisted by metabolic engineering. An emerging powerful tool in metabolic engineering research is computer-assisted cell design using mathematical programming. In this work, the problem of optimizing cellular metabolic networks has been formulated as a Mixed Integer Nonlinear Programming (MINLP) model. The model can assist genetic engineers to identify which cellular enzymes should be modified, and the new levels of activity required to produce an optimal network. Results are presented from the tricarboxylic acid cycle in Dictyostelium discoideum. © 1998 John Wiley & Sons, Inc. Biotechnol Bioeng 58:267-271, 1998.
    Additional Material: 3 Ill.
    Type of Medium: Electronic Resource
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