title: The SBASE domain sequence resource, release 12: prediction of protein domain-architecture using support vector machines.
abstract: SBASE (http://www.icgeb.trieste.it/sbase) is an online resource designed to facilitate the detection of domain homologies based on sequence database search. The present release of the SBASE A library of protein domain sequences contains 972,397 protein sequence segments annotated by structure, function, ligand-binding or cellular topology, clustered into 8547 domain groups. SBASE B contains 169,916 domain sequences clustered into 2526 less well-characterized groups. Domain prediction is based on an evaluation of database search results in comparison with a 'similarity network' of inter-sequence similarity scores, using support vector machines trained on similarity search results of known domains.
authors.affiliation: ICGEB-International Center for Genetic Engineering and Biotechnology, Area Science Park, 34012 Trieste, Italy.
authors.forename: Kristian
authors.initials: K
authors.lastname: Vlahovicek
authors.forename: László
authors.initials: L
authors.lastname: Kaján
authors.forename: Vilmos
authors.initials: V
authors.lastname: Agoston
authors.forename: Sándor
authors.initials: S
authors.lastname: Pongor
mesh_terms: D001185:Artificial Intelligence; D030562:Databases, Protein; D017434:Protein Structure, Tertiary; D011506:Proteins / Q000737:chemistry; D016415:Sequence Alignment; D020539:Sequence Analysis, Protein
chemical_list: D011506:Proteins