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Fast and accurate automatic structure prediction with HHpred
Author(s) -
Hildebrand Andrea,
Remmert Michael,
Biegert Andreas,
Söding Johannes
Publication year - 2009
Publication title -
proteins: structure, function, and bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.699
H-Index - 191
eISSN - 1097-0134
pISSN - 0887-3585
DOI - 10.1002/prot.22499
Subject(s) - computer science , server , usability , casp , protein structure prediction , threading (protein sequence) , artificial intelligence , machine learning , data mining , operating system , protein structure , physics , nuclear magnetic resonance
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. Proteins 2009. © 2009 Wiley‐Liss, Inc.