]> 2013-05-18T18:45:18-07:00 Resource:AutoPSI database of predicted SCOP classifications curated http://services.bio.ifi.lmu.de:1046/AutoPSIDB/ 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. <br /> 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. nif-0000-02588 Resource:AutoPSI database of predicted SCOP classifications 2011-05-27T00:00:00 17932066 Resource AutoPSI Automated Protein Structure Identification (AutoPSI) database Automated Protein Structure Identification database AutoPSI Database Resource Synonym SuperCategory PMID ModifiedDate Label Ludwig-Maximilians-University; Munich; Germany Is part of Id Database Has role Definition DefiningCitation CurationStatus