| 학회 | 한국화학공학회 |
| 학술대회 | 2003년 봄 (04/25 ~ 04/26, 순천대학교) |
| 권호 | 9권 1호, p.251 |
| 발표분야 | 공정시스템 |
| 제목 | Development of the Flux Balance Analysis Software using multiobjective linear programming |
| 초록 | Recent completion of the entire genome sequences of numerous microorganisms and other organisms is setting up a new paradigm of biological research. Metabolic flux analysis (MFA) is a prime candidate for the phenotype definition because it requires the least amount of information to quantify and analyze the metabolic system. Basically, under steady-state assumption, MFA starts from the construction of a stoichiometric model, followed by flux balance analysis (FBA) based on a linear programming (LP) approach. Optimal flux distribution is then calculated by optimizing a particular objective. Herein, various objective functions can be used to identify the flux distribution. Generally, maximization of growth rate or maximization/minimization of product synthesis and substrate uptake is selected as an objective function. For each objective, many successful applications have been reported. However, to our knowledge, less work has been done on considering desired biological endpoints simultaneously in FBA. Thus, we should consider this as the multiobjective optimization (MOP) problem. |
| 저자 | 오영균, 윤홍석, 이동엽, 이상엽, 박선원 |
| 소속 | 한국과학기술원 생명화학공학과 |
| 키워드 | flux balance analysis; multiobjective linear programming; optimization |
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