• DocumentCode
    3491619
  • Title

    Evolutionary sequence divergence predicts protein sub-cellular localization signals

  • Author

    Fukasawa, Yoshinori ; Leung, Ross KK ; Tsui, Stephen KW ; Horton, Paul

  • Author_Institution
    Dept. of Comput. Biol., Univ. of Tokyo, Kashiwa, Japan
  • fYear
    2011
  • fDate
    2-4 Sept. 2011
  • Firstpage
    307
  • Lastpage
    312
  • Abstract
    Protein sub-cellular localization is a central problem in understanding cell biology and has been the focus of intense research. In order to predict localization from amino acid sequence a myriad of features have been tried: including amino acid composition, sequence similarity, the presence of certain motifs or domains, and many others. Surprisingly, sequence conservation of sorting motifs has not yet been employed, despite its extensive use for tasks such as the prediction of transcription factor binding sites. Here, we flip the problem around, and present a proof of concept for the idea that the lack of sequence conservation can be a useful feature for localization prediction.
  • Keywords
    cellular biophysics; proteins; amino acid composition; amino acid sequence; cell biology; evolutionary sequence divergence; protein subcellular localization; sequence similarity; transcription factor binding sites; Accuracy; Amino acids; Educational institutions; Entropy; Protein engineering; Proteins; Sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Biology (ISB), 2011 IEEE International Conference on
  • Conference_Location
    Zhuhai
  • Print_ISBN
    978-1-4577-1661-4
  • Electronic_ISBN
    978-1-4577-1665-2
  • Type

    conf

  • DOI
    10.1109/ISB.2011.6033170
  • Filename
    6033170