中文摘要：

新陈代谢的网络在系统生物学的区域成为了一个热话题，基于流动的分析在理解有机体的特征起一个很重要的作用新陈代谢的网络。我们主要为分析象流动平衡分析(不列颠学会会员) 那样的新陈代谢的网络考察静态的方法，新陈代谢的调整(MOMA ) 的最小化，在离开最小化(空间) 的 / 上规章、动态有线性二次的管理者(DFBA-LQR ) 的流动平衡分析。然后，为流动分析的几种通常使用的软件简短并且与对方相比被介绍。最后，我们为药设计加亮新陈代谢的网络流动分析，特别与另外的生物特征相结合的它的用法和它的用法的应用程序。联合新陈代谢的网络和另外的生物化学的数据的分析的想法逐渐地在象新陈代谢的流动和基因表示，新陈代谢的流动引起的蛋白质进化的影响，在新陈代谢的流动之间的关系和拓扑的特征的规定的联合那样的几个方面被支持了并且使用，新陈代谢的工程的优化。新陈代谢的网络的更全面、精确的性质将被集成新陈代谢的流动分析获得，联网拓扑的特征并且动态建模。

英文摘要：

The metabolic network has become a hot topic in the area of system biology and flux-based analysis plays a very important role in understanding the characteristics of organism metabolic networks. We review mainly the static methods for analyzing metabolic networks such as flux balance analysis （FBA）, minimization of metabolic adjustment （MOMA）, regulatory on / off minimization （ROOM）, and dynamic flux balance analysis with linear quadratic regulator （DFBA-LQR）. Then several kinds of commonly used software for flux analysis are introduced briefly and compared with each other. Finally, we highlight the applications of metabolic network flux analysis, especially its usage combined with other biological characteristics and its usage for drug design. The idea of combining the analysis of metabolic networks and other biochemical data has been gradually promoted and used in several aspects such as the combination of metabolic flux and the regulation of gene expression, the influence of protein evolution caused by metabolic flux, the relationship between metabolic flux and the topological characteristics, the optimization of metabolic engineering. More comprehensive and accurate properties of metabolic networks will be obtained by integrating metabolic flux analysis, network topological characteristics and dynamic modeling.