基于极端途径的生化网络模块化分析

摘要

近年来,对于复杂生化网络系统进行模块化分析引起了科研人员的极大关注.一般认为,模块化分析有助于理解这些网络的结构与功能关系.但是,当前的模块化分析方法大多将生化网络考虑为普通的复杂网络,所得模块的生物学意义较低.介绍了化学计量矩阵及极端途径分析等基本概念,对苏云金杆菌的丁醇代谢系统进行建模分析,研究结果表明:极端途径分析可用于识别网络中的功能模块,具备较好的生物学意义.%There is a general interest in modularization analysis of biochemical networks in recent years.Generally, modularization analysis can be helpful for understanding the structure and function of these networks.However, almost all of current methods consider biochemical networks as general complex networks,resulting in modules' biological insignificance.After the introduction of the basic for stoichiometric matrix and extreme pathway analysis, the butanoate metabolism of Bacillus thuringiensis is analyzed.The results suggest that extreme pathway analysis can identify functional modules in biochemical networks, with better biological significance.