title: In silico characterization of proteins: UniProt, InterPro and Integr8.
abstract: Nucleic acid sequences from genome sequencing projects are submitted as raw data, from which biologists attempt to elucidate the function of the predicted gene products. The protein sequences are stored in public databases, such as the UniProt Knowledgebase (UniProtKB), where curators try to add predicted and experimental functional information. Protein function prediction can be done using sequence similarity searches, but an alternative approach is to use protein signatures, which classify proteins into families and domains. The major protein signature databases are available through the integrated InterPro database, which provides a classification of UniProtKB sequences. As well as characterization of proteins through protein families, many researchers are interested in analyzing the complete set of proteins from a genome (i.e. the proteome), and there are databases and resources that provide non-redundant proteome sets and analyses of proteins from organisms with completely sequenced genomes. This article reviews the tools and resources available on the web for single and large-scale protein characterization and whole proteome analysis.
authors.affiliation: EMBL Outstation - European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK. mulder@ebi.ac.uk
authors.forename: Nicola Jane
authors.initials: NJ
authors.lastname: Mulder
authors.forename: Paul
authors.initials: P
authors.lastname: Kersey
authors.forename: Manuela
authors.initials: M
authors.lastname: Pruess
authors.forename: Rolf
authors.initials: R
authors.lastname: Apweiler
mesh_terms: D000595:Amino Acid Sequence; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D016678:Genome / Q000235:genetics; D006801:Humans; D011506:Proteins / Q000737:chemistry / Q000145:classification / Q000235:genetics / Q000378:metabolism*
chemical_list: D011506:Proteins