In silico screening of triple reaction knockout Escherichia coli strains for overproduction of useful metabolites(BIOINFORMATICS)
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概要
- 論文の詳細を見る
For efficient production of industrially useful metabolites by microorganisms, it is important to design metabolic networks suitable for production. For this purpose, constraint-based metabolic flux simulation is a powerful tool to predict the effect of reaction knockouts on target productivity. In this study, using constraint-based metabolic simulation, in silico screening was performed to identify knockout candidate sets that increase the productivity of 1-butanol, 1-propanol, and 1,3-propanediol by engineered Escherichia coli. Metabolic changes caused by all possible sets of triple reaction knockouts were evaluated using a reduced metabolic model, which was constructed to significantly reduce the computational cost. The results demonstrated the strategies to improve target productivity by gene disruption; some of them could not be achieved by previous screening methods. Such knockout strategies can support further improvements of the target productivity.
- 2013-02-00
著者
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Furusawa Chikara
Department Of Bioinformatic Engineering Graduate School Of Information Science And Technology Osaka
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Ohno Satoshi
Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Osaka University
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SHIMIZU HIROSHI
Department of Anatomy, School of Medicine, Tokushima University
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Shimizu Hiroshi
Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Osaka University
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