원문정보
초록
영어
The advent of in silico genome-scale model developed various algorithms for the gene targeting. Flux balance analysis (FBA) optimizes a specific objective function by linear programming under
pseudo-steady state based on the stoichiometry of metabolic reactions. . However, single objective algorithms optimize only the limited objective function. To improve a strain for biochemical production, the organism should be investigated from diverse sides simultaneously:
for instance, biomass formation, biochemical production, and waste formation In this respect, we propose a new approach called the flux scanning with compromised objective fluxes (FSCOF), multi-objective algorithm. [This work was supported by Korean Systems Biology
Research program (M10309020000-03B5002-00000) of the Ministry of Education, Science and Technology. Further supports by LG Chem Chair Professorship, Microsoft and IBM SUR program are appreciated.]