点击次数：
论文类型：期刊论文
发表时间：2011-02-01
发表刊物：NONLINEAR ANALYSIS-HYBRID SYSTEMS
收录刊物：SCIE、EI
卷号：5
期号：1
页面范围：102-112
ISSN号：1751-570X
关键字：Complex metabolic network; Nonlinear hybrid dynamical system; Biological robustness; System identification
摘要：The bioconversion of glycerol to 1,3-propanediol (1,3-PD) by Klebsiella pneumoniae (K. pneumoniae) can be characterized by an intricate metabolic network of interactions among biochemical fluxes, metabolic compounds, key enzymes and genetic regulation. Since there are some uncertain factors in the fermentation, especially the transport mechanisms of substances across cell membrane, the metabolic network contains multiple possible metabolic systems. In this paper, we establish a complex metabolic network and the corresponding nonlinear hybrid dynamical system aiming to determine the most possible metabolic system. The existence, uniqueness and continuity of solutions are discussed. We quantitatively describe biological robustness and present a system identification model on the basis of robustness performance. The identification problem is decomposed into two subproblems and a procedure is constructed to solve them. Numerical results show that it is most possible that both glycerol and 1,3-PD pass the cell membrane by active transport coupling with passive diffusion under substrate-sufficient conditions, whereas, under substrate-limited conditions, glycerol passes cell membrane by active transport coupling with passive diffusion and 1,3-PD by active transport. (C) 2010 Elsevier Ltd. All rights reserved.