Locating proteins in the cell using TargetP, SignalP and related tools

被引:2621
作者
Emanuelsson, Olof [2 ]
Brunak, Soren [1 ]
von Heijne, Gunnar [3 ]
Nielsen, Henrik [1 ]
机构
[1] Tech Univ Denmark, Ctr Biol Sequence Analys, DK-2800 Lyngby, Denmark
[2] Albanova Stockholm Univ, Stockholm Bioinformat Ctr, SE-10691 Stockholm, Sweden
[3] Ctr Biomembrane Res, Dept Biochem & Biophys, SE-10691 Stockholm, Sweden
关键词
D O I
10.1038/nprot.2007.131
中图分类号
Q5 [生物化学];
学科分类号
071010 [生物化学与分子生物学]; 081704 [应用化学];
摘要
Determining the subcellular localization of a protein is an important first step toward understanding its function. Here, we describe the properties of three well-known N-terminal sequence motifs directing proteins to the secretory pathway, mitochondria and chloroplasts, and sketch a brief history of methods to predict subcellular localization based on these sorting signals and other sequence properties. We then outline how to use a number of internet-accessible tools to arrive at a reliable subcellular localization prediction for eukaryotic and prokaryotic proteins. In particular, we provide detailed step-by-step instructions for the coupled use of the amino-acid sequence-based predictors TargetP, SignalP, ChloroP and TMHMM, which are all hosted at the Center for Biological Sequence Analysis, Technical University of Denmark. In addition, we describe and provide web references to other useful subcellular localization predictors. Finally, we discuss predictive performance measures in general and the performance of TargetP and SignalP in particular.
引用
收藏
页码:953 / 971
页数:19
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