title: Knowledge discovery of multilevel protein motifs.
abstract: A new category of protein motif is introduced. This type of motif captures, in addition to global structure, the nested structure of its component parts. A dataset of four proteins is represented using this scheme. A structured machine discovery procedure is used to discover recurrent amino acid motifs and this knowledge is utilized for the expression of subsequent protein motif discoveries. Examples of discovered multilevel motifs are presented.
authors.affiliation: Department of Computing and Information Science, Queen's University, Kingston, Ontario, Canada.
authors.forename: D
authors.initials: D
authors.lastname: Conklin
authors.forename: S
authors.initials: S
authors.lastname: Fortier
authors.forename: J
authors.initials: J
authors.lastname: Glasgow
mesh_terms: D000818:Animals; D003198:Computer Simulation; D016208:Databases, Factual; D006801:Humans; D007256:Information Systems; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry*; D017421:Sequence Analysis
chemical_list: D011506:Proteins