代谢网络
比例(比率)
计算机科学
复杂网络
计算生物学
缩放比例
蓝图
活细胞
生物系统
钥匙(锁)
生化工程
生物
数学
生态学
机械工程
量子力学
物理
工程类
万维网
几何学
作者
Hawoong Jeong,B. Tombor,Réka Albert,Zoltán N. Oltvai,Albert‐László Barabási
出处
期刊:Nature
[Springer Nature]
日期:2000-10-01
卷期号:407 (6804): 651-654
被引量:2557
摘要
In a cell or microorganism, the processes that generate mass, energy, information transfer and cell-fate specification are seamlessly integrated through a complex network of cellular constituents and reactions1. However, despite the key role of these networks in sustaining cellular functions, their large-scale structure is essentially unknown. Here we present a systematic comparative mathematical analysis of the metabolic networks of 43 organisms representing all three domains of life. We show that, despite significant variation in their individual constituents and pathways, these metabolic networks have the same topological scaling properties and show striking similarities to the inherent organization of complex non-biological systems2. This may indicate that metabolic organization is not only identical for all living organisms, but also complies with the design principles of robust and error-tolerant scale-free networks2,3,4,5, and may represent a common blueprint for the large-scale organization of interactions among all cellular constituents.
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