title: Tools and resources for identifying protein families, domains and motifs.
abstract: With the large influx of raw sequence data from genome sequencing projects, there is a need for reliable automatic methods for protein sequence analysis and classification. The most useful tools use various methods for identifying motifs or domains found in previously characterized protein families. This article reviews the tools and resources available on the web for identifying signatures within proteins and discusses how they may be used in the analysis of new or unknown protein sequences.
authors.affiliation: The EMBL Outstation, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. apweiler@ebi.ac.uk
authors.forename: Nicola J
authors.initials: NJ
authors.lastname: Mulder
authors.forename: Rolf
authors.initials: R
authors.lastname: Apweiler
mesh_terms: D020816:Amino Acid Motifs / Q000235:genetics; D001665:Binding Sites / Q000235:genetics; D030562:Databases, Protein; D020407:Internet; D011506:Proteins / Q000235:genetics*; D016415:Sequence Alignment / Q000379:methods*; D012984:Software
chemical_list: D011506:Proteins