title: Finding association rules on heterogeneous genome data.
abstract: A novel approach for discovery of knowledge from genome data, which has been recently watched with interest in the research area of database, is applied to finding unified rules spreading over sequence, structure, and function of protein. As the result of experiments using data extracted from PDB, SWISS-PROT, and PROSITE, some association rules stating sequential/structural/functional aspects of two kinds of endopeptidases were found.
authors.affiliation: Human Genome Center, Institute of Medical Science, University of Tokyo, Japan.
authors.forename: K
authors.initials: K
authors.lastname: Satou
authors.forename: G
authors.initials: G
authors.lastname: Shibayama
authors.forename: T
authors.initials: T
authors.lastname: Ono
authors.forename: Y
authors.initials: Y
authors.lastname: Yamamura
authors.forename: E
authors.initials: E
authors.lastname: Furuichi
authors.forename: S
authors.initials: S
authors.lastname: Kuhara
authors.forename: T
authors.initials: T
authors.lastname: Takagi
mesh_terms: D003198:Computer Simulation; D019992:Databases as Topic; D010450:Endopeptidases / Q000737:chemistry* / Q000145:classification / Q000235:genetics; D016678:Genome; D016247:Information Storage and Retrieval; D008958:Models, Molecular; D011381:Programming Languages; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry* / Q000235:genetics
chemical_list: D011506:Proteins; D010450:Endopeptidases