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生物分子网络的演化:来自代谢和蛋白质相互作用的经验教训。

Evolution of biomolecular networks: lessons from metabolic and protein interactions.

作者信息

Yamada Takuji, Bork Peer

机构信息

European Molecular Biology Laboratory, Heidelberg, Germany.

出版信息

Nat Rev Mol Cell Biol. 2009 Nov;10(11):791-803. doi: 10.1038/nrm2787.

Abstract

Despite only becoming popular at the beginning of this decade, biomolecular networks are now frameworks that facilitate many discoveries in molecular biology. The nodes of these networks are usually proteins (specifically enzymes in metabolic networks), whereas the links (or edges) are their interactions with other molecules. These networks are made up of protein-protein interactions or enzyme-enzyme interactions through shared metabolites in the case of metabolic networks. Evolutionary analysis has revealed that changes in the nodes and links in protein-protein interaction and metabolic networks are subject to different selection pressures owing to distinct topological features. However, many evolutionary constraints can be uncovered only if temporal and spatial aspects are included in the network analysis.

摘要

尽管生物分子网络在本世纪初才开始流行,但如今它们已成为促进分子生物学诸多发现的框架。这些网络的节点通常是蛋白质(在代谢网络中具体为酶),而连接(或边)则是它们与其他分子的相互作用。在代谢网络中,这些网络由蛋白质 - 蛋白质相互作用或通过共享代谢物的酶 - 酶相互作用组成。进化分析表明,由于不同的拓扑特征,蛋白质 - 蛋白质相互作用和代谢网络中节点和连接的变化受到不同的选择压力。然而,只有在网络分析中纳入时间和空间方面,才能发现许多进化限制。

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