Grigorov Martin G
Nestlé Research Center, BioAnalytical Science, CH-1000 Lausanne 26, Switzerland.
Drug Discov Today. 2005 Mar 1;10(5):365-72. doi: 10.1016/S1359-6446(05)03369-6.
This article discusses the most recent achievements in understanding the biological implications of the small-world and scale-free global topological properties of genetic, proteomic and metabolic networks. Most importantly, these networks are highly clustered and have small node-to-node distances. With their few very connected nodes, which are statistically unlikely to fail under random conditions, the proper functioning of these systems is maintained under external perturbations.
本文讨论了在理解遗传、蛋白质组学和代谢网络的小世界和无标度全局拓扑特性的生物学意义方面的最新成果。最重要的是,这些网络具有高度聚集性,且节点间距离较短。它们有少数连接度极高的节点,在随机条件下从统计学角度来看不太可能失效,因此这些系统在外部扰动下仍能维持正常运作。