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In silico screening of triple reaction knockout Escherichia coli strains for overproduction of useful metabolites

, , and . Journal of Bioscience and Bioengineering, 115 (2): 221 - 228 (2013)
DOI: https://doi.org/10.1016/j.jbiosc.2012.09.004

Abstract

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.

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In silico screening of triple reaction knockout Escherichia coli strains for overproduction of useful metabolites - ScienceDirect

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