| 학회 | 한국화학공학회 |
| 학술대회 | 2006년 봄 (04/20 ~ 04/21, 대구 인터불고 호텔) |
| 권호 | 12권 1호, p.84 |
| 발표분야 | 공정시스템 |
| 제목 | Simulation and Optimization of E. coli based Succinic Acid Production |
| 초록 | In order to overcome the lack of kinetic information, flux balance analysis (FBA) has attracted attentions due to its requirements which are only the stoichiometric mass balances of metabolic network and cellular composition information. FBA is commonly used to investigate the metabolic network of microorganisms. In this study, we developed a novel multiobjective linear programming (MOLP) strategy based on the noninferior set estimation (NISE) method (Solanki et al., 1993), whereby Pareto solutions for the given set of conflicting objectives and corresponding flux distribution profiles are generated to understand how the internal fluxes are changed in the metabolic system. These results can provide new insight into the relationship among the measurements, the objective criteria and the possible solutions. ACKNLWLEDGEMENTS This work was supported by the Korean Systems Biology Research Program (M10309020000-03B5002-00000) of the MOST and by the BK21 project and by Center for Ultramicrochemical Process Systems sponsored by KOSEF. |
| 저자 | 오영균1, 이동엽2, 김태용3, 이상엽1, 박선원1 |
| 소속 | 1한국과학기술원, 2Department of Chemical and Biomolecular Engineering, 3싱가폴국립대 |
| 키워드 | multiobjective linear programming; flux balance analysis; succinic acid production |
| VOD | VOD 보기 |
| 원문파일 | 초록 보기 |
