title: Construction of a dictionary of sequence motifs that characterize groups of related proteins.
abstract: An automatic procedure is proposed to identify, from the protein sequence database, conserved amino acid patterns (or sequence motifs) that are exclusive to a group of functionally related proteins. This procedure is applied to the PIR database and a dictionary of sequence motifs that relate to specific superfamilies constructed. The motifs have a practical relevance in identifying the membership of specific superfamilies without the need to perform sequence database searches in 20% of newly determined sequences. The sequence motifs identified represent functionally important sites on protein molecules. When multiple blocks exist in a single motif they are often close together in the 3-D structure. Furthermore, occasionally these motif blocks were found to be split by introns when the correlation with exon structures was examined.
authors.affiliation: Institute for Chemical Research, Kyoto University, Japan.
authors.forename: A
authors.initials: A
authors.lastname: Ogiwara
authors.forename: I
authors.initials: I
authors.lastname: Uchiyama
authors.forename: Y
authors.initials: Y
authors.lastname: Seto
authors.forename: M
authors.initials: M
authors.lastname: Kanehisa
mesh_terms: D000595:Amino Acid Sequence; D016208:Databases, Factual; D008958:Models, Molecular; D008969:Molecular Sequence Data; D005810:Multigene Family; D010455:Peptides; D011487:Protein Conformation; D017386:Sequence Homology, Amino Acid
chemical_list: D010455:Peptides