title: Protein-fingerprint data mining of a designed alpha-helical peptide array.
abstract: The data generated from protein fingerprints with an alpha-helical peptide array were analyzed using several statistical methods such as hierarchical clustering analysis and principal component analysis to discriminate target proteins.
authors.affiliation: Department of Bioengineering, Graduate School of Bioscience and Biotechnology, Tokyo Institute of Technology, Nagatsuta-cho 4259 B-40, Midori-ku, Yokohama, 226-8501, Japan.
authors.forename: Kenji
authors.initials: K
authors.lastname: Usui
authors.forename: Kin-ya
authors.initials: KY
authors.lastname: Tomizaki
authors.forename: Hisakazu
authors.initials: H
authors.lastname: Mihara
mesh_terms: D000595:Amino Acid Sequence; D016000:Cluster Analysis; D008969:Molecular Sequence Data; D010449:Peptide Mapping / Q000379:methods*; D010455:Peptides / Q000737:chemistry*; D025341:Principal Component Analysis; D040081:Protein Array Analysis / Q000379:methods*; D017433:Protein Structure, Secondary
chemical_list: D010455:Peptides