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  Fast and accurate automatic structure prediction with HHpred.

Hildebrand, A., Remmert, M., Biegert, A., & Söding, J. (2009). Fast and accurate automatic structure prediction with HHpred. Proteins: Structure, Function, and Bioinformatics, 77(S9), 128-132. doi:10.1002/prot.22499.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0017-D689-9 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0028-8522-7
Genre: Journal Article

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 Creators:
Hildebrand, A.1, Author
Remmert, M.1, Author
Biegert, A.1, Author
Söding, J.2, Author              
Affiliations:
1external, ou_persistent22              
2Research Group of Computational Biology, MPI for Biophysical Chemistry, Max Planck Society, ou_1933286              

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Free keywords: homology detection; structure prediction; function prediction; CASP; HMM; hidden Markov model
 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.

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Language(s): eng - English
 Dates: 2009-06-172009
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1002/prot.22499
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Title: Proteins: Structure, Function, and Bioinformatics
Source Genre: Journal
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Publ. Info: New York, NY : John Wiley and Sons
Pages: - Volume / Issue: 77 (S9) Sequence Number: - Start / End Page: 128 - 132 Identifier: ISSN: 0887-3585
CoNE: https://pure.mpg.de/cone/journals/resource/954925553393_1