Reconstruction of a Genome-scale Metabolic Network of Clostridium ocetobutylicum ATCC 824 and Fluz Balance Analysis Combined with Nonlinear Programming
A genome-scale metabolic network of C. Acetobutylicum ATCC 824 comprising 502 reactions and 479 metabolites was reconstructed from various annotation data. Using this model, we compared the simulation result with fermentation data. We successfully predicted the fluxes of acidogenic phase using typical flux balance analysis (FBA), and the fluxes of solventogenic phase was also calculated using nonlinear programming which assumes the minimal fluctuation of fluxes except acid and solvent production. In addition, essential genes were predicted via single gene deletion studies. The genome-scale model of C. Acetobutylicum can be used for genome wide analysis as well as for designing of strain development strategy for improving production of biochemicals including 1-butanol. This work was supported by the Ministry of Knowledge Economy grant funded by the Korea government(10030795). Further supports by the LG Chem Chair Professorship, IBM SUR program, Microsoft, GS Caltex, and by KOSEF through the Center for Ultramicrochemical Process Systems are appreciated..
Clostridiurn acetobutylicum genome-scale stoichiometric model constraintsbased fluz analysis Butanol
Hongseok Yuna Joungmin Lee Sang Yup Lee
Department of Chemical and Biomolecular Engineering (BK21 Program), Metabolic and Biomolecular Engin Department of Chemical and Biomolecular Engineering (BK21 Program), Metabolic and Biomolecular Engin
国际会议
The 7th Asia-Pacific Bioinformatics Conference(第七届亚太生物信息学大会)
北京
英文
900
2009-01-01（万方平台首次上网日期，不代表论文的发表时间）