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Dynamic Modeling of Lactic Acid Fermentation Metabolism with Lactococcus lactis
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  • Dynamic Modeling of Lactic Acid Fermentation Metabolism with Lactococcus lactis
  • Dynamic Modeling of Lactic Acid Fermentation Metabolism with Lactococcus lactis
저자명
Oh. Euh-Lim,Lu. Mingshou,Choi. Woo-Joo,Park. Chang-Hun,Oh. Han-Bin,Lee. Sang-Yup,Lee. Jin-Won
간행물명
Journal of microbiology and biotechnology
권/호정보
2011년|21권 2호|pp.162-169 (8 pages)
발행정보
한국미생물생명공학회
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정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

A dynamic model of lactic acid fermentation using Lactococcus lactis was constructed, and a metabolic flux analysis (MFA) and metabolic control analysis (MCA) were performed to reveal an intensive metabolic understanding of lactic acid bacteria (LAB). The parameter estimation was conducted with COPASI software to construct a more accurate metabolic model. The experimental data used in the parameter estimation were obtained from an LC-MS/MS analysis and time-course simulation study. The MFA results were a reasonable explanation of the experimental data. Through the parameter estimation, the metabolic system of lactic acid bacteria can be thoroughly understood through comparisons with the original parameters. The coefficients derived from the MCA indicated that the reaction rate of L-lactate dehydrogenase was activated by fructose 1,6-bisphosphate and pyruvate, and pyruvate appeared to be a stronger activator of L-lactate dehydrogenase than fructose 1,6-bisphosphate. Additionally, pyruvate acted as an inhibitor to pyruvate kinase and the phosphotransferase system. Glucose 6-phosphate and phosphoenolpyruvate showed activation effects on pyruvate kinase. Hexose transporter was the strongest effector on the flux through L-lactate dehydrogenase. The concentration control coefficient (CCC) showed similar results to the flux control coefficient (FCC).