• DocumentCode
    1554457
  • Title

    Automatic pattern embedding in protein structure models

  • Author

    Bienkowska, Jadwiga ; He, Hongxian ; Smith, Temple F.

  • Author_Institution
    Dept. of Biomed. Eng., Boston Univ., MA, USA
  • Volume
    16
  • Issue
    6
  • fYear
    2001
  • Firstpage
    21
  • Lastpage
    25
  • Abstract
    This article describes an implementation of a set of rules for automatically embedding a minimal functional sequence pattern in a structural hidden Markov model. The final product is a library of wide ranging fold models with encoded information about the functional families.
  • Keywords
    biology computing; hidden Markov models; molecular biophysics; molecular configurations; pattern classification; proteins; scientific information systems; sequences; automatically embedded minimal functional sequence pattern; encoded information; fold model library; functional families; protein structure models; structural hidden Markov model; Amino acids; Bayesian methods; Helium; Hidden Markov models; Length measurement; Libraries; Prediction methods; Predictive models; Proteins; State-space methods;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/5254.972074
  • Filename
    972074
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1554457