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PMID: 17446895 Published · ppublish English Journal Article

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

Nature protocols ·Vol. 2 ·No. 4 ·2007-00-00 ·Pages 953-71

Emanuelsson O, Brunak S, von Heijne G, Nielsen H

Abstract

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.

MeSH Terms
Amino Acid Motifs Arabidopsis Proteins/analysis,chemistry Computational Biology/methods Protein Sorting Signals Proteins/analysis Sequence Analysis, Protein/methods Software
Chemicals
Arabidopsis Proteins Protein Sorting Signals Proteins
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Emanuelsson Olof
Stockholm Bioinformatics Center, Albanova, Stockholm University, SE-10691 Stockholm, Sweden.
Brunak Søren
von Heijne Gunnar
Nielsen Henrik
Article Info
Journal
Nature protocols
Abbr.
Nat Protoc
ISSN
1750-2799
Published
2007-00-00
Pages
953-71
Language
English
Region
England
NLM ID
101284307
Subset
IM
Analysis Services
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