Hatzimanikatis V, Bailey J E
Institute of Biotechnology, ETH-Zurich, Switzerland.
J Theor Biol. 1996 Oct 7;182(3):233-42. doi: 10.1006/jtbi.1996.0160.
The recent development of two mathematical frameworks for the analysis and design of metabolic systems is reviewed here. Both frameworks employ a (log)linear kinetic metabolic model that is constructed making direct, explicit use of the individual enzyme kinetic parameters which are a foundation of Metabolic Control Analysis (MCA) information. The first framework allows the description of the dynamic responses of metabolic systems subject to fluctuations in their parameters. The second framework considers the problem of optimizing the regulatory structure of metabolic networks. Both frameworks are powerful in enabling greater insights into metabolism based on MCA quantities.
本文综述了用于代谢系统分析与设计的两种数学框架的最新进展。这两种框架均采用（对数）线性动力学代谢模型，该模型直接、明确地利用了作为代谢控制分析（MCA）信息基础的各个酶动力学参数来构建。第一个框架允许描述代谢系统在其参数波动时的动态响应。第二个框架考虑了优化代谢网络调控结构的问题。基于MCA量，这两种框架都能有力地帮助人们更深入地了解代谢。
