• DocumentCode
    2641039
  • Title

    Feature extraction of protein folds based on secondary structure transformation

  • Author

    Maeda, T. ; Kamada, K. ; Ohkawa, T. ; Komoda, N. ; Nakamura, H. ; Kidera, A.

  • Author_Institution
    Dept. of Inf. Syst. Eng., Osaka Univ., Japan
  • fYear
    1998
  • fDate
    21-23 May 1998
  • Firstpage
    158
  • Lastpage
    162
  • Abstract
    We propose a classification method of protein folds from the structural features of clusters that are extracted based on the cost of structural transformation from one protein to another. In the method, the feature to be extracted is defined as a pair of a delegate structure and a cluster region. The delegate structure is generated by estimating the center of structural balance among proteins in one cluster from the viewpoint of transformation costs. The cluster region shows how far the cluster spread. The validity of the proposed feature extraction method is confirmed through the application to the convenient classification of unclassified proteins
  • Keywords
    feature extraction; molecular biophysics; pattern classification; proteins; cluster region; feature extraction; pattern classification; protein; secondary structure transformation; Costs; Feature extraction; Parameter estimation; Protein engineering; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence and Systems, 1998. Proceedings., IEEE International Joint Symposia on
  • Conference_Location
    Rockville, MD
  • Print_ISBN
    0-8186-8548-4
  • Type

    conf

  • DOI
    10.1109/IJSIS.1998.685436
  • Filename
    685436