Metabolic pathway recruiting through genomic data analysis for industrial application of Saccharomyces cerevisiae

This paper aims to establish the methodology for building object-oriented metabolic pathway models which describe metabolic flux change due to the cultivation conditions change such as from normal one to high osmotic pressure (sugar concentration) based on the genomic data analysis, and also to apply the method for metabolic pathway recruiting in an improved strain producing useful compounds which can play important roles for green chemistry. The model will be developed using the data of transcriptome, proteome and metabolites, including metabolic flux analysis. Practically, profiling data of transcriptome and proteome have been taken at high osmolarity condition. And a better-improved strain based on the analysis was obtained.