title: Fast and accurate automatic structure prediction with HHpred.
abstract: Automated protein structure prediction is becoming a mainstream tool for biological research. This has been fueled by steady improvements of publicly available automated servers over the last decade, in particular their ability to build good homology models for an increasing number of targets by reliably detecting and aligning more and more remotely homologous templates. Here, we describe the three fully automated versions of the HHpred server that participated in the community-wide blind protein structure prediction competition CASP8. What makes HHpred unique is the combination of usability, short response times (typically under 15 min) and a model accuracy that is competitive with those of the best servers in CASP8.
authors.affiliation: Gene Center and Center for Integrated Protein Science (Munich), Ludwig-Maximilians-University Munich, 81377 Munich, Germany.
authors.forename: Andrea
authors.initials: A
authors.lastname: Hildebrand
authors.forename: Michael
authors.initials: M
authors.lastname: Remmert
authors.forename: Andreas
authors.initials: A
authors.lastname: Biegert
authors.forename: Johannes
authors.initials: J
authors.lastname: Söding
mesh_terms: D019295:Computational Biology / Q000379:methods*; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry*; D016415:Sequence Alignment / Q000379:methods*; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software
chemical_list: D011506:Proteins