4.8 Article

HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment

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NATURE METHODS
卷 9, 期 2, 页码 173-175

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NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.1818

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  1. Deutsche Forschungsgemeinschaft [SFB646]
  2. Ludwig-Maximilians Universitat Munich through Excellence Initiative of the Bundesministerium fur Bildung und Forschung

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Sequence-based protein function and structure prediction depends crucially on sequence-search sensitivity and accuracy of the resulting sequence alignments. We present an open-source, general-purpose tool that represents both query and database sequences by profile hidden Markov models (HMMs): 'HMM-HMM based lightning-fast iterative sequence search' (HHblits; http://toolkit.genzentrum.lmu.de/hhblits/). Compared to the sequence-search tool PSI-BLAST, HHblits is faster owing to its discretized-profile prefilter, has 50-100% higher sensitivity and generates more accurate alignments.

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