| 학회 | 한국화학공학회 |
| 학술대회 | 2008년 봄 (04/23 ~ 04/25, 제주ICC) |
| 권호 | 14권 1호, p.255 |
| 발표분야 | 공정시스템 |
| 제목 | A Candidate Gene Selection Strategy by in silico Knockout Simulation |
| 초록 | In recent years, in silico simulation of biological systems has become the powerful tool for the metabolic engineering. In this study, a candidate gene selection strategy is proposed using following steps. First, a genome scale metabolic model is constructed for a constraint-based metabolic flux analysis. Second, a multi-objective metabolic flux analysis is used for handing multiple objectives such as, maximization of cell growth or product formation and minimization of byproduct formation. Third, flux distributions of the Pareto solutions are clustered and a target candidate group is selected. Second and third steps are iterated to find a optimal gene knockout targets. Acknowledgement This work was supported by the Korean Systems Biology Research Program of the Ministry of Science and Technology and Center for Ultramicrochemical Process Systems Sponsored by KOSEF. |
| 저자 | 오영균, 이상엽, 박선원 |
| 소속 | 한국과학기술원 |
| 키워드 | in silico simulation; gene knockout simulation |
| 원문파일 | 초록 보기 |
