@article {AutoPsi08,
	title = {{AutoPSI: a database for automatic structural classification of protein sequences and structures}},
	journal = {Nucleic Acids Res.},
	volume = {36},
	year = {2008},
	month = {Jan},
	pages = {398{\textendash}401},
	abstract = {In protein research, structural classifications of protein domains
provided by databases such as SCOP play an important role. However, as such
databases have to be curated and prepared carefully, they update only up to a few
times per year, and in between newly entered PDB structures cannot be used in
cases where a structural classification is required. 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. AutoPSI is freely accessible at
http://www.bio.ifi.lmu.de/AutoPSIDB.},
	keywords = {autopsi-08},
	doi = {doi:10.1093/nar/gkm834},
	author = {Fabian Birzele and Jan Erik Gewehr and Ralf Zimmer}
}