Shoemaker Benjamin A, Panchenko Anna R
Computational Biology Branch, National Center for Biotechnology Information, Bethesda, Maryland, United States of America.
PLoS Comput Biol. 2007 Apr 27;3(4):e43. doi: 10.1371/journal.pcbi.0030043.
Recent advances in high-throughput experimental methods for the identification of protein interactions have resulted in a large amount of diverse data that are somewhat incomplete and contradictory. As valuable as they are, such experimental approaches studying protein interactomes have certain limitations that can be complemented by the computational methods for predicting protein interactions. In this review we describe different approaches to predict protein interaction partners as well as highlight recent achievements in the prediction of specific domains mediating protein-protein interactions. We discuss the applicability of computational methods to different types of prediction problems and point out limitations common to all of them.
用于识别蛋白质相互作用的高通量实验方法的最新进展产生了大量多样的数据，这些数据在一定程度上不完整且相互矛盾。尽管研究蛋白质相互作用组的此类实验方法很有价值，但它们存在某些局限性，可通过预测蛋白质相互作用的计算方法加以补充。在本综述中，我们描述了预测蛋白质相互作用伙伴的不同方法，并强调了在预测介导蛋白质-蛋白质相互作用的特定结构域方面的最新成果。我们讨论了计算方法对不同类型预测问题的适用性，并指出了它们共有的局限性。
