title: Comparative analysis of an experimental subcellular protein localization assay and in silico prediction methods.
abstract: The subcellular localization of a protein can provide important information about its function within the cell. As eukaryotic cells and particularly mammalian cells are characterized by a high degree of compartmentalization, most protein activities can be assigned to particular cellular compartments. The categorization of proteins by their subcellular localization is therefore one of the essential goals of the functional annotation of the human genome. We previously performed a subcellular localization screen of 52 proteins encoded on human chromosome 21. In the current study, we compared the experimental localization data to the in silico results generated by nine leading software packages with different prediction resolutions. The comparison revealed striking differences between the programs in the accuracy of their subcellular protein localization predictions. Our results strongly suggest that the recently developed predictors utilizing multiple prediction methods tend to provide significantly better performance over purely sequence-based or homology-based predictions.
authors.affiliation: Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Ihnestr. 73, 14195 Berlin, Germany.
authors.forename: Yuhui
authors.initials: Y
authors.lastname: Hu
authors.forename: Hans
authors.initials: H
authors.lastname: Lehrach
authors.forename: Michal
authors.initials: M
authors.lastname: Janitz
mesh_terms: D001681:Biological Assay / Q000379:methods*; D002891:Chromosomes, Human, Pair 21 / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D006801:Humans; D021381:Protein Transport; D011506:Proteins / Q000378:metabolism*; D013347:Subcellular Fractions / Q000378:metabolism
chemical_list: D011506:Proteins