Titz Björn, Schlesner Matthias, Uetz Peter
Institut fur Genetik, Forschungszentrum Karlsruhe, Box 3640, D-76021 Karlsruhe, Germany.
Expert Rev Proteomics. 2004 Jun;1(1):111-21. doi: 10.1586/14789450.1.1.111.
The biological significance of protein interactions, their method of generation and reliability is briefly reviewed. Protein interaction networks adopt a scale-free topology that explains their error tolerance or vulnerability, depending on whether hubs or peripheral proteins are attacked. Networks also allow the prediction of protein function from their interaction partners and therefore, the formulation of analytical hypotheses. Comparative network analysis predicts interactions for distantly related species based on conserved interactions, even if sequences are only weakly conserved. Finally, the medical relevance of protein interaction analysis is discussed and the necessity for data integration is emphasized.
本文简要回顾了蛋白质相互作用的生物学意义、其产生方法及可靠性。蛋白质相互作用网络呈现无标度拓扑结构，这解释了它们的容错性或脆弱性，具体取决于受攻击的是中心节点蛋白还是外围蛋白。网络还能根据蛋白质的相互作用伙伴预测其功能，从而形成分析假设。比较网络分析基于保守的相互作用预测远缘物种之间的相互作用，即便序列的保守性很弱。最后，本文讨论了蛋白质相互作用分析的医学相关性，并强调了数据整合的必要性。
