원문정보
초록
영어
Metabolic fluxes are an essential concept to understand the metabolism because they are an ultimate cellular phenotype as an outcome of interplays among various cell components under the specific condition.
Here, we developed a framework that sequentially employs constraint-based flux analysis [1] and Bayesian network analysis [2] to systematically integrate metabolic flux information from control and perturbation conditions and interpret the effects of the perturbation on the metabolism. This framework enables systematic organization of metabolic fluxes in terms of causal relationships, which might serve as a useful supplemental tool in metabolic flux analysis. [This work was supported by the Korean Systems Biology Program from the Ministry of Education,
Science and Technology through the Korea Science and Engineering Foundation (No. M10309020000-03B5002-00000). Further support by LG Chem Chair Professorship is appreciated.]