title: PCBOST: Protein classification based on structural trees.
abstract: In this paper, we present the protein classification based on structural trees (PCBOST). This is a novel hierarchical classification of proteins that is primarily based on similarity of overall folds of proteins as well as on the modeled folding pathways of proteins. Amino acid sequences, functions of proteins and their evolutionary relationship are not taken into account in this classification. To date the database includes 3847 proteins and domains grouped into six categories having structural similarity and forming six structural trees (total 10,547 PDB-entries). The work on extension of the database and construction of novel structural trees is in progress. The service is free for all users and available at the URL <http://strees.protres.ru/>.
authors.affiliation: Institute of Protein Research, Russian Academy of Sciences, Pushchino, Moscow Region 142290, Russian Federation.
authors.forename: Alexey B
authors.initials: AB
authors.lastname: Gordeev
authors.forename: Anton M
authors.initials: AM
authors.lastname: Kargatov
authors.forename: Alexander V
authors.initials: AV
authors.lastname: Efimov
mesh_terms: D000595:Amino Acid Sequence; D030562:Databases, Protein; D019143:Evolution, Molecular; D008958:Models, Molecular; D011487:Protein Conformation; D017510:Protein Folding; D011506:Proteins / Q000737:chemistry* / Q000145:classification*
chemical_list: D011506:Proteins