title: Predicting protein subcellular localisation from amino acid sequence information.
abstract: 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.
authors.affiliation: Stockholm Bioinformatics Center, Stockholm University, Stockholm, Sweden. olof@sbc.su.se
authors.forename: Olof
authors.initials: O
authors.lastname: Emanuelsson
mesh_terms: D000595:Amino Acid Sequence; D002462:Cell Membrane / Q000378:metabolism; D005057:Eukaryotic Cells / Q000166:cytology / Q000502:physiology*; D021382:Protein Sorting Signals; D021381:Protein Transport / Q000502:physiology; D011506:Proteins / Q000145:classification / Q000235:genetics* / Q000378:metabolism*; D012984:Software
chemical_list: D021382:Protein Sorting Signals; D011506:Proteins