• DocumentCode
    3103051
  • Title

    Analysing the Similarity of Proteins Based on a New Approach to Empirical Mode Decomposition

  • Author

    Zhu, Shao-Ming ; Yu, Zu-Guo ; Anh, Vo ; Yang, Sheng-Yuan

  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The function of a protein can be partially determined by the information contained in its amino acid sequence. It can be assumed that proteins with similar amino acid sequences normally have closer functions. Hence analysing the similarity of proteins has become one of the most important areas of protein study. In this work, a layered comparison method is used to analyze the similarity of proteins. It is based on the empirical mode decomposition (EMD) method, and protein sequences are characterized by the intrinsic mode functions (IMFs). The similarity of proteins is studied with a new cross-correlation formula. It seems that the EMD method can be used to detect the functional relationship of two proteins. This kind of similarity method is a complement of traditional sequence similarity approaches which focus on the alignment of amino acids.
  • Keywords
    biology computing; molecular biophysics; numerical analysis; proteins; EMD method; amino acid sequence; empirical mode decomposition; intrinsic mode functions; layered comparison method; protein sequences; protein similarity analysis; Amino acids; Artificial neural networks; Australia; Databases; Hidden Markov models; Information analysis; Protein engineering; Protein sequence; Signal analysis; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2151-7614
  • Print_ISBN
    978-1-4244-4712-1
  • Electronic_ISBN
    2151-7614
  • Type

    conf

  • DOI
    10.1109/ICBBE.2010.5515603
  • Filename
    5515603