Mahadevan R, Palsson B O
Biophys J. 2005 Jan;88(1):L07-9. doi: 10.1529/biophysj.104.055723. Epub 2004 Dec 1.
Biological data from high-throughput technologies describing the network components (genes, proteins, metabolites) and their associated interactions have driven the reconstruction and study of structural (topological) properties of large-scale biological networks. In this article, we address the relation of the functional and structural properties by using extensively experimentally validated genome-scale metabolic network models to compute observable functional states of a microorganism and compare the "structure versus function" attributes of metabolic networks. It is observed that, functionally speaking, the essentiality of reactions in a node is not correlated with node connectivity as structural analyses of other biological networks have suggested. These findings are illustrated with the analysis of the genome-scale biochemical networks of three species with distinct modes of metabolism. These results also suggest fundamental differences among different biological networks arising out of their representation and functional constraints.
来自高通量技术的生物学数据描述了网络组件(基因、蛋白质、代谢物)及其相关相互作用,推动了大规模生物网络结构(拓扑)特性的重建和研究。在本文中,我们通过广泛使用经过实验验证的基因组规模代谢网络模型来计算微生物的可观测功能状态,并比较代谢网络的“结构与功能”属性,探讨功能和结构属性之间的关系。从功能上讲,可以观察到,一个节点中反应的必要性与其他生物网络的结构分析所表明的节点连通性无关。通过对三种具有不同代谢模式的物种的基因组规模生化网络进行分析,阐述了这些发现。这些结果还表明,不同生物网络因其表示方式和功能限制而存在根本差异。