title: Microcomputer-assisted periodic pattern recognition in the primary structure of proteins.
abstract: Some relevant problems concerning the computational methods able to predict the higher structures of biopolymers from the sequence of their monomers will be introduced and a software package, LAPS (Look At Primary Structures) able to tackle many of those problems even on microcomputers, will be illustrated in its architecture and performances. In discussing some exemplary applications, special emphasis will be given to the recognition of repetitive patterns.
authors.affiliation: Department of Biochemical Sciences, University of Rome, La Sapienza, Italy.
authors.forename: A
authors.initials: A
authors.lastname: Colosimo
authors.forename: V
authors.initials: V
authors.lastname: Balzarotti
authors.forename: S
authors.initials: S
authors.lastname: Morante
authors.forename: V
authors.initials: V
authors.lastname: Parisi
mesh_terms: D000595:Amino Acid Sequence; D001483:Base Sequence; D008838:Microcomputers; D008969:Molecular Sequence Data; D010363:Pattern Recognition, Automated; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry*
chemical_list: D011506:Proteins