DYNAMIC FLUX BALANCE ANALYSIS FOR PREDICTING GENE OVEREXPRESSION EFFECTS IN BATCH CULTURES
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Liste des auteurs: Barreto-Rodriguez CM, Ramirez-Angulo JP, Ramirez JMG, Achenie L, Molina-Bulla H, Barrios AFG
Editeur: World Scientific Publishing
Année de publication: 2014
Numéro du volume: 22
Numéro de publication: 3
Nombre de pages: 12
ISSN: 0218-3390
Languages: Anglais-Royaume-Uni (EN-GB)
Résumé
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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