Network-based prediction of protein function.
Network-based prediction of protein function.
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DOI：
10.1038/msb4100129
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发表时间：
2007
影响因子：
9.9
通讯作者：
Shamir, Ron
中科院分区：
文献类型：
--
作者：
Sharan, Roded;Ulitsky, Igor;Shamir, Ron
蛋白质的功能注释是后总部时代的基本问题。许多模型物种的蛋白质相互作用网络的最新可用性刺激了用于解释此类数据以阐明蛋白质功能的计算方法的开发。在这篇综述中，我们描述了当前的任务计算方法，包括直接方法，这些方法通过网络传播功能信息以及模块辅助方法，这些方法推断网络中的功能模块并将其用于注释任务。尽管已经开发出各种有趣的方法，但是该领域的进一步进展将取决于对方法及其在生物群落中的传播的系统评估。
Functional annotation of proteins is a fundamental problem in the post-genomic era. The recent availability of protein interaction networks for many model species has spurred on the development of computational methods for interpreting such data in order to elucidate protein function. In this review, we describe the current computational approaches for the task, including direct methods, which propagate functional information through the network, and module-assisted methods, which infer functional modules within the network and use those for the annotation task. Although a broad variety of interesting approaches has been developed, further progress in the field will depend on systematic evaluation of the methods and their dissemination in the biological community.