Protein Structure Analysis Using Continuous Density Hidden Markov Models

نویسندگان

  • Morihiro Hayashida
  • Nobuhisa Ueda
  • Katsuhisa Horimoto
  • Tatsuya Akutsu
چکیده

Hidden Markov models [2] (HMMs) have been successfully applied to Bioinformatics such as gene finding, remote homology detection and secondary structure prediction. On the other hand, continuous density HMMs have been widely used in the field of speech recognition. Though continuous density HMMs were not applied to Bioinformatics so far, they may also be useful in Bioinformatics. Currently, we are developing methods for applying continuous density HMMs to analysis of three-dimensional structures of proteins. In this poster abstract, we report a preliminary result on application of continuous density HMMs to analysis of protein structures.

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تاریخ انتشار 2002