| 학회 | 한국화학공학회 |
| 학술대회 | 2006년 봄 (04/20 ~ 04/21, 대구 인터불고 호텔) |
| 권호 | 12권 1호, p.169 |
| 발표분야 | 공정시스템 |
| 제목 | Simulation of Metabolic Networks Using Carbon Isotope Labeling Experiment |
| 초록 | Metabolic flux analysis (MFA) is a powerful tool for the modeling and simulation of metabolic networks. However, the available extracellular flux data is not always sufficient to determine all intracellular fluxes. Further information or constraints should be acquired for calculation of intracellular fluxes. By use of the carbon isotope labeling experiment for fermentation experiments, it is possible to obtain mass distribution data. Carbon isotope labeled data came from 13C isotope tracer technique with GC-MS (Gas Chromatography-Mass Spectrometry) measurements. In this work, we have developed a metabolic networks simulation tool which can precisely simulate intracellular fluxes using carbon labeled experimental data. The result can provide strict insight into complex biochemical networks. Acknowledgement This work was supported by the Korean Systems Biology Research Program (M10309020000-03B5002-00000) of the MOST and by the BK21 project, by Center for Ultramicrochemical Process Systems sponsored by KOSEF. Further supports from LG Chemicals Chair Professorship and IBM-SUR program are greatly appreciated. |
| 저자 | 김상훈, 오영균, 최형석, 윤좌문, 이상엽, 박선원 |
| 소속 | 한국과학기술원 생명화학공학과 |
| 키워드 | Metabolic Flux Analysis; Carbon isotopes; Modeling and Simulation; Isotopomer Distributions |
| 원문파일 | 초록 보기 |
