title: A new clustering system for protein sequences and its application to constraints discovery in protein evolution.
abstract: A conceptual clustering system, CLUSMOL/S, has been developed to classify protein sequences from a user-defined point of view. Given a grouping of amino acids as a viewpoint, the system constructs taxonomic trees of sequences based on minimum information criterion. Every tree node expresses itself as a generic consensus sequence that consists of specific consensus amino acids insertion/deletion points, and generic amino acids with a specified character. The resulting tree and generic sequences show the similarity-based relationships among sequences and their characteristics. Application to vertebrate cytochromes c yields an acceptable cladrogram only when amino acids are grouped by volume and length of sidechains. The result indicates that the steric factor is the most important constraint in the process of protein evolution.
authors.affiliation: Faculty of Science, Kwansei Gakuin University, Nishinomiya, Japan.
authors.forename: H
authors.initials: H
authors.lastname: Nakagawa
authors.forename: Y
authors.initials: Y
authors.lastname: Koyama
authors.forename: T
authors.initials: T
authors.lastname: Kawai
authors.forename: T
authors.initials: T
authors.lastname: Okada
mesh_terms: D000595:Amino Acid Sequence; D000818:Animals; D016384:Consensus Sequence; D003574:Cytochrome c Group / Q000737:chemistry; D019143:Evolution, Molecular; D006801:Humans; D008969:Molecular Sequence Data; D011506:Proteins / Q000737:chemistry* / Q000145:classification*
chemical_list: D003574:Cytochrome c Group; D011506:Proteins