• DocumentCode
    2530864
  • Title

    A Geometric Representation of Protein Sequences

  • Author

    Gu, Shengyin ; Poch, Olivier ; Hamann, Bernd ; Koehl, Patrice

  • Author_Institution
    Univ. of California, Davis
  • fYear
    2007
  • fDate
    2-4 Nov. 2007
  • Firstpage
    135
  • Lastpage
    142
  • Abstract
    The amino acid sequence of a protein is the key to understanding its structure and ultimately its function in the cell. This paper addresses the fundamental issue of encoding amino acids in ways that the visualization of protein sequences facilitates the decoding of its information content. We show that a feature-based representation in a three-dimensional (3D) space derived from substitution matrices provides an adequate representation from which the domain content of a protein can be predicted. In addition, we show that each dimension of the feature space can be related to a physical property of the amino acids.
  • Keywords
    cellular biophysics; molecular biophysics; molecular configurations; proteins; amino acid encoding; amino acid sequence; cells; geometric representation; protein function; protein sequences; protein structure; protein visualization; substitution matrix; Amino acids; Bioinformatics; Biological information theory; Computer science; Data analysis; Data visualization; Encoding; Genomics; Protein sequence; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine, 2007. BIBM 2007. IEEE International Conference on
  • Conference_Location
    Fremont, CA
  • Print_ISBN
    978-0-7695-3031-4
  • Type

    conf

  • DOI
    10.1109/BIBM.2007.22
  • Filename
    4413047