원문정보
초록
영어
Vibrio vulnificus is a halophilic and highly human-pathogenic bacterium, showing very high mortality rate when infected. In order to facilitate the drug development process for this, we undertook in silico analysis to identify specific drug targets in the genome-scale metabolism of V. vulnificus. With a newly sequenced and annotated genome of V. vulnificus, we first reconstructed its genome-scale metabolic network consisting of 946 reactions and 766 metabolites. Subsequently, we employed constraints-based flux analysis, an optimization-based simulation technique, to validate the model in comparison with experimental data, and identify essential genes comprising the metabolic network. This study is a first step for the rational design of biomedical experiments based on the computational approach. [This work was supported by the Korea Science and Engineering Foundation (KOSEF) grant funded by the
Korea government (MOST) (No. M10309020000-03B5002-00000).Further supports by LG Chem Chair Professorship, Microsoft and IBM SUR program are appreciated.]