大尺度代谢网络通量平衡分析的进展与应用

Development and Application of Flux Balance Analysis Methods for Large-Scale Metabolic Networks

利用大尺度代谢网络分析生物体内部复杂的生化机制已经研究了很多年,大尺度代谢网络的算法也有很多,在这其中通量平衡分析是一个有效的定量研究基因组尺度代谢网络的方法,并在很多分析中都有应用。总结了通量平衡分析算法的最新进展,包括基本的通量平衡分析以及扩展的通量平衡分析算法,然后介绍了一些应用通量平衡分析算法模拟大型生物网络的单机的和在线的工具,最后还比较了这些工具的优缺点,并讨论了目前代谢网络分析算法与软件存在的难题和未来的研究方向。

The availability and utility of large-scale metabolic networks for analyzing the internal complicated mechanism of organisms have been explored for years.Algorithms that analyze large-scale metabolic network have been published a lot.Among all the available algorithms,flux balance analysis（FBA） is proved to be an effective approach to give quantitative prediction of genome-scale biological networks and used in most of the analysis.In this review,we summarized the recent advances of FBA,including typical FBA and extended FBA.Then stand-alone software and on-line tools that apply FBA to mathematically modeling large microbial networks are introduced.The advantages as well as weaknesses are further compared for better use of these tools.The problems and perspectives of the algorithm and software used in the metabolic network analysis are also discussed for further development.