title: Prediction of organellar targeting signals.
abstract: The subcellular location of a protein is an important characteristic with functional implications, and hence the problem of predicting subcellular localization from the amino acid sequence has received a fair amount of attention from the bioinformatics community. This review attempts to summarize the present state of the art in the field.
authors.affiliation: Stockholm Bioinformatics Center, Stockholm University, S-10691, Stockholm, Sweden.
authors.forename: O
authors.initials: O
authors.lastname: Emanuelsson
authors.forename: G
authors.initials: G
authors.lastname: von Heijne
mesh_terms: D002467:Cell Nucleus / Q000378:metabolism; D002736:Chloroplasts / Q000378:metabolism; D008928:Mitochondria / Q000378:metabolism; D015388:Organelles / Q000378:metabolism*; D010940:Plant Proteins / Q000378:metabolism*; D021382:Protein Sorting Signals; D021381:Protein Transport; D015398:Signal Transduction
chemical_list: D010940:Plant Proteins; D021382:Protein Sorting Signals