The Automated Protein Structure Identifica … The Automated Protein Structure Identification (AutoPSI) database delivers predicted SCOP classifications for several thousand yet unclassified PDB entries as well as millions of UniProt sequences in an automated fashion. In order to obtain predictions, we make use of two recently published methods, namely AutoSCOP (sequence-based) and Vorolign (structure-based) and the consensus of both. With our predictions, we bridge the gap between SCOP versions for proteins with known structures in the PDB and additionally make structure predictions for a very large number of UniProt proteins.
The data stored in the AutoPSI database is accessible in two different ways. First, we provide a flat file distribution of the database, which contains the individual predictions made for PDB proteins as well as UniProt proteins. Second, the data is accessible by a web interface. The AutoPSI database may be searched for entries by means of PDB identifiers, UniProt identifiers and descriptions. ers, UniProt identifiers and descriptions.