원문정보
초록
영어
One of the approaches for the quantification of large-scale underdetermined metabolic network is constraint-based flux analysis. Thus, the intracellular flux distribution calculated by linear programming may not represent the true values. 13C-constrained flux analysis allows more accurate determination of internal fluxes, but is currently limited torelatively small metabolic networks. A new methodology employing artificial metabolites and converging ratio determinants
(CRDs) was developed for improving constraint-based flux analysis. The CRDs were determined based on the metabolic flux ratios obtained from 13Clabeling experiments, and were incorporated into the mass balance equations for the artificial metabolites. These new mass balance equations were used as additional constraints with genome-scale E. coli metabolic model, which allowed more accurate determination of intracellular metabolic fluxes and pathway analysis.[This work was supported by the Korea Science and Engineering Foundation (KOSEF) grant funded by the Korea government (MOST) (No. M10309020000-03B5002-00000).Further
supports by LG Chem Chair Professorship, Microsoft and IBM SUR program are appreciated.]