Limiting and excreting metabolites of succinate production in S.cerevisiae using flux balance analysis

Metabolic engineering is widely known approach for producing a variety of products from readily available, simple and cheap starting material. The main purpose of metabolic engineering is to optimize the metabolic network within the cells to improve the production of desired product. S.cerevisiae has been widely used for producing succinate as the yeast is genome-sequenced, robust, easy to genetically engineer and physiologically well-characterized. However, deep cellular understanding on its metabolic is very important in order to comprehend and identifies metabolites and reactions that would affect the productivity of succinate in S.cerevisiae. In this paper, we present the analysis on metabolic network of succinate production in S.cerevisiae using shadow prices and reduced costs parameters to identify which metabolites and reactions affect the productivity of succinate in S.cerevisiae. The method used in accomplishing this study is Flux Balance Analysis (FBA) and for the dataset, S.cerevisiae iND750 metabolic network was used. The result from the analysis has successfully identified several metabolites and reactions that would affect the productivity of succinate in S.cerevisiae.