The large-scale organization of metabolic networks
The large-scale organization of metabolic networks
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DOI：
10.1038/35036627
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发表时间：
2000-10-05
期刊：
影响因子：
64.8
通讯作者：
Barabási, AL
中科院分区：
文献类型：
--
作者：
Jeong, H;Tombor, B;Barabási, AL
在细胞或微生物中，产生质量，能量，信息传递和细胞命运指定的过程通过细胞成分和反应的复杂网络无缝集成（1）。然而，尽管这些网络在维持细胞功能方面发挥着关键作用，但它们的大规模结构基本上是未知的。在这里，我们提出了一个系统的比较数学分析的代谢网络的43个生物体代表所有三个领域的生活。我们发现，尽管它们的个体成分和途径存在显着差异，但这些代谢网络具有相同的拓扑标度特性，并与复杂的非生物系统的固有组织表现出惊人的相似性（2）。这可能表明，代谢组织不仅对所有生物体都是相同的，而且符合鲁棒和容错的无标度网络的设计原则（2-5），并且可能代表了所有细胞成分之间相互作用的大规模组织的共同蓝图。
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 reactions(1). 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 systems(2). 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 networks(2-5), and may represent a common blueprint for the large-scale organization of interactions among all cellular constituents.