earticle

영어

Constraints-based flux analysis including flux balance analysis (FBA) of a genome-scale metabolic allows calculation of intracellular metabolic fluxes by optimizing an objective function and has found numerous applications in the field of systems biology and biotechnology. However, the FBA simulation without additional information has some problems such the inaccurate prediction of internal metabolic fluxes and existence of multiple solutions for an optimal objective value (e.g., growth rate) because of redundancy of reactions in genome-scale metabolic model. Here, we report a strategy for accurate prediction of metabolic fluxes based on FBA combined with grouping reaction constraints that restrict the achievable flux ranges of grouped reactions by genomic context analyses and flux-converging pattern analyses. FBA of Escherichia coli genome-scale metabolic model was carried out to validate the strategy under several different genotypic and environmental conditions. The predicted flux values by applying the constraints were in good agreement with the experimentally measured fluxes. [This work was supported by the Korean Systems Biology Research Project (20100002164) of the Ministry of Education, Science and Technology (MEST) through the National Research Foundation of Korea. Further support by the World Class University Program (R32-2008-000-10142-0) through the National Research Foundation of Korea funded by the MEST is appreciated.]