The genome-scale metabolic network analysis of Zymomonas mobilis ZM4 explains physiological features and suggests ethanol and succinic acid production strategies |
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| Authors: | Kyung Yun Lee Jong Myoung Park Tae Yong Kim Hongseok Yun Sang Yup Lee |
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| Affiliation: | 1.Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 program),KAIST,Daejeon,Republic of Korea;2.BioProcess Engineering Research Center,Center for Systems and Synthetic Biotechnology, Institute for the BioCentury, KAIST,Daejeon,Republic of Korea;3.Bioinformatics Research Center,KAIST,Daejeon,Republic of Korea |
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| Abstract: | Background Zymomonas mobilis ZM4 is a Gram-negative bacterium that can efficiently produce ethanol from various carbon substrates, including glucose, fructose, and sucrose, via the Entner-Doudoroff pathway. However, systems metabolic engineering is required to further enhance its metabolic performance for industrial application. As an important step towards this goal, the genome-scale metabolic model of Z. mobilis is required to systematically analyze in silico the metabolic characteristics of this bacterium under a wide range of genotypic and environmental conditions. |
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