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      An HMM model for coiled-coil domains and a comparison with PSSM-based predictions.

      1 ,
      Bioinformatics (Oxford, England)
      Oxford University Press (OUP)

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          Abstract

          Large-scale sequence data require methods for the automated annotation of protein domains. Many of the predictive methods are based either on a Position Specific Scoring Matrix (PSSM) of fixed length or on a window-less Hidden Markov Model (HMM). The performance of the two approaches is tested for Coiled-Coil Domains (CCDs). The prediction of CCDs is used frequently, and its optimization seems worthwhile.

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          Author and article information

          Journal
          Bioinformatics
          Bioinformatics (Oxford, England)
          Oxford University Press (OUP)
          1367-4803
          1367-4803
          Apr 2002
          : 18
          : 4
          Affiliations
          [1 ] Genetics and Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria 3050, Australia. delorenzi@wehi.edu.au
          Article
          10.1093/bioinformatics/18.4.617
          12016059
          0394ea80-fa1e-4bf6-bb66-db32960a3c5b

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