%0 Journal Article %1 OHNO2013221 %A Ohno, Satoshi %A Furusawa, Chikara %A Shimizu, Hiroshi %D 2013 %J Journal of Bioscience and Bioengineering %K combinatorial knock-outs metabolic-engineering metabolic-networks %N 2 %P 221 - 228 %R https://doi.org/10.1016/j.jbiosc.2012.09.004 %T In silico screening of triple reaction knockout Escherichia coli strains for overproduction of useful metabolites %U http://www.sciencedirect.com/science/article/pii/S1389172312003726 %V 115 %X 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.

@article{OHNO2013221, 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.}, added-at = {2019-05-25T14:10:44.000+0200}, author = {Ohno, Satoshi and Furusawa, Chikara and Shimizu, Hiroshi}, biburl = {https://www.bibsonomy.org/bibtex/25657af7f6449da84abe03eec2dabdb71/karthikraman}, description = {In silico screening of triple reaction knockout Escherichia coli strains for overproduction of useful metabolites - ScienceDirect}, doi = {https://doi.org/10.1016/j.jbiosc.2012.09.004}, interhash = {76c45c4e50186cf3fdb11475278d5a7c}, intrahash = {5657af7f6449da84abe03eec2dabdb71}, issn = {1389-1723}, journal = {Journal of Bioscience and Bioengineering}, keywords = {combinatorial knock-outs metabolic-engineering metabolic-networks}, number = 2, pages = {221 - 228}, timestamp = {2019-05-25T14:10:44.000+0200}, title = {In silico screening of triple reaction knockout Escherichia coli strains for overproduction of useful metabolites}, url = {http://www.sciencedirect.com/science/article/pii/S1389172312003726}, volume = 115, year = 2013 }