预测蛋白质亚细胞定位：过去、现在与未来。
Predicting protein subcellular localization: past, present, and future.
作者信息
Dönnes Pierre, Höglund Annette
机构信息
Department for Simulation of Biological Systems, Wilhelm Schickard Institute, University of Tübingen, D-72076 Tübingen, Germany.
出版信息
Genomics Proteomics Bioinformatics. 2004 Nov;2(4):209-15. doi: 10.1016/s1672-0229(04)02027-3.
Functional characterization of every single protein is a major challenge of the post-genomic era. The large-scale analysis of a cell's proteins, proteomics, seeks to provide these proteins with reliable annotations regarding their interaction partners and functions in the cellular machinery. An important step on this way is to determine the subcellular localization of each protein. Eukaryotic cells are divided into subcellular compartments, or organelles. Transport across the membrane into the organelles is a highly regulated and complex cellular process. Predicting the subcellular localization by computational means has been an area of vivid activity during recent years. The publicly available prediction methods differ mainly in four aspects: the underlying biological motivation, the computational method used, localization coverage, and reliability, which are of importance to the user. This review provides a short description of the main events in the protein sorting process and an overview of the most commonly used methods in this field.
对每一种蛋白质进行功能表征是后基因组时代的一项重大挑战。对细胞蛋白质进行大规模分析的蛋白质组学旨在为这些蛋白质提供有关其相互作用伙伴以及在细胞机制中功能的可靠注释。在这条道路上的一个重要步骤是确定每种蛋白质的亚细胞定位。真核细胞被分为亚细胞区室或细胞器。跨膜运输到细胞器是一个受到高度调控且复杂的细胞过程。近年来，通过计算手段预测亚细胞定位一直是一个活跃的领域。公开可用的预测方法主要在四个方面存在差异：潜在的生物学动机、所使用的计算方法、定位覆盖范围以及可靠性，而这些对用户来说都很重要。本综述简要描述了蛋白质分选过程中的主要事件，并概述了该领域最常用的方法。
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