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Briefings in Bioinformatics 2002 3(4):361-376; doi:10.1093/bib/3.4.361
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© Henry Stewart Publications

Predicting protein subcellular localisation from amino acid sequence information

Olof Emanuelsson
Works in close collaboration with Gunnar von Heijne on developing methods for predicting subcellular localisation of proteins. He is at the Stockholm Bioinformatics Center (SBC), a joint effort between Stockholm University,the Royal Institute of Technology and Karolinska Institute, located in Stockholm, Sweden.


Olof Emanuelsson, Stockholm Bioinformatics Center, Stockholm Center for Physics Astronomy and Biotechnology, Stockholm University, S-106 91 Stockholm, Sweden Tel: +46 (0) 8 5537 8574 Fax: +46 (0) 8 5537 8214 E-mail: olof{at}sbc.su.se

Predicting the subcellular localisation of proteins is an important part of the elucidation of their functions and interactions. Here, the amino acid sequence motifs that direct proteins to their proper subcellular compartment are surveyed, different methods for localisation prediction are discussed, and some benchmarks for the more commonly used predictors are presented.

Keywords: protein sorting, subcellular localisation, prediction, sequence analysis


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