文中研究重建代谢网络及分析其拓扑结构与功能。首先,详细介绍用于重建代谢网络的主要数据类型以及相关数据库。然后,介绍重建和精练代谢网络的方法,及重建苏云金芽胞杆菌(Bacillus thurirtgiensis)代谢网络的工作。用代谢物图表示该网络,共830个节点,1132条连线。最后,分析网络的拓扑结构特征,借助代谢网络“蝴蝶结”结构的特征对其予以简化,并从网络的小世界效应、节点度分布和关键代谢物3方面分析其巨强连通体。该巨强连通体的平均路径长度为8.63,节点度分布符合幂律分布,表明它是一个典型的小世界和无标度网络。同时,研究结果表明其关键代谢物均具备重要的生物学功能意义。
The present paper mainly investigated the reconstruction of metabolic network and its topolosical structural and functional a- nalysis. First, we introduced the basic data and related database for metabolic network reconstruction. Then, we introduced the general method for metabolic network reconstruction and cure, with an example of reconstructing Bacillus thuringiensis metabolic network. In metabolite graph representation, it contains 830 nodes and 1 132 links. At last, we analyzed its global topological properties, we simplified reconstructed network based on its "bow-tie", and we investigated the giant strong component (GSC) from the following aspects : ( 1 ) "small world" phenomena, (2) degree distribution of nodes and ( 3 ) hub metabolites. The average path length is 8.63 for the GSC, and the degree distribution of nodes accords to power, suggesting it is a "small world" and "scale free" network. Mean- while, it suggested that the key metabolites are all with significant biological functions.