DYNAMIC FLUX BALANCE ANALYSIS FOR PREDICTING GENE OVEREXPRESSION EFFECTS IN BATCH CULTURES

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Author list: Barreto-Rodriguez CM, Ramirez-Angulo JP, Ramirez JMG, Achenie L, Molina-Bulla H, Barrios AFG
Publisher: World Scientific Publishing
Publication year: 2014
Volume number: 22
Issue number: 3
Number of pages: 12
ISSN: 0218-3390
Languages: English-Great Britain (EN-GB)


Abstract

The advent of numerous technological platforms for genome sequencing has led to increasing understanding and construction of metabolic networks. A popular system engineering strategy is used to analyze microbial metabolic networks is flux balance analysis (FBA). In recent times, there has been a lot of interest in the study of the metabolic network dynamics when genes are overexpressed in the system. Herein, an optimization framework, which employs dynamic flux balance analysis (DFBA) is proposed for predicting ethanol concentration profiles in glycerol fermentations using Escherichia coli. In silico results were experimentally validated by overexpressing alcohol/acetaldehyde dehydrogenase adhE, pyruvate kinase pykF, pyruvate formate-lyase pflB and isoleucine-valine enzymes ilvC and llvL.


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Last updated on 2019-23-08 at 11:15