원문정보
초록
영어
Acinetobacter baumannii has emerged as a new clinical threat to human health, particularly to the immunocompromised patients in hospital environment. In this study, we reconstructed the genome-scale metabolic network of this pathogen, and used it for subsequent drug targeting. The
in silico model was simulated using constraints-based flux analysis with appropriate constraints according to the specific known conditions. Essential gene/reaction analysis and essential metabolite analysis were performed using this simulation method, each of which identifies essential genes/reactions and metabolites critical to the cell growth. The EMFilter, a framework that filters initially predicted essential metabolites to find the most effective ones as drug targets, was also developed (1). Final drug target candidates obtained by this system framework are presented with discussion. [This work was supported by the Korean Systems Biology Research Project (20090065571) of the Ministry of Education, Science and Technology (MEST) through the National Research Foundation (NRF) of Korea. Further supports by the World Class University Program (R32-2008-000-10142-0) of the MEST, LG Chem Chair Professorship, IBM SUR program, and Microsoft are appreciated.]