원문정보
초록
영어
Vibrio vulnificus is a halophilic and highly human-pathogenic bacterium, showing very high mortality rate when infected (1). 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. We applied constraints-based flux analysis (2), an optimization-based simulation technique, to the genome-scale metabolic model of V. vulnificus consisting of 946 reactions and 766 metabolites in order to identify essential metabolites whose removal causes cell death
(3). This provides information on both metabolites and their outgoing reactions with respect to the drug targeting. As a result, we found 107 essential metabolites. 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 grant funded by the Korea government (No. M10309020000-03B5002-00000).Further supports by LG Chem Chair Professorship, Microsoft and IBM SUR program are appreciated.]