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Predicting Protein Subcellular Localization: Past, Present, and Future

机译:预测蛋白质亚细胞定位:过去,现在和未来

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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.
机译:每个单一蛋白质的功能表征是后基因组时代的主要挑战。细胞蛋白质组学的大规模分析,旨在为这些蛋白质提供有关它们的相互作用伴侣和细胞机器功能的可靠注释。这种方法的重要一步是确定每种蛋白质的亚细胞定位。真核细胞分为亚细胞区室或细胞器。跨膜运输进入细胞器是一个高度调节和复杂的细胞过程。近年来,通过计算手段预测亚细胞定位一直是活跃的领域。公开可用的预测方法主要在以下四个方面有所不同:潜在的生物学动机,使用的计算方法,定位范围和可靠性,这对用户很重要。这篇综述简要介绍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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