• DocumentCode
    3106329
  • Title

    Nipah Virus Classification via Fractal Dimension & Shannon Entropy

  • Author

    Holden, Todd ; Gadura, N. ; Cheung, E. ; Schneider, P. ; Tremberger, G., Jr. ; Elham, N. ; Sunil, D. ; Lieberman, D. ; Cheung, T.

  • Author_Institution
    Phys. Dept., CUNY Queensborogh Community Coll., Bayside, NY, USA
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Nipah virus glycoprotein and nucleoprotein sequences were studied using fractal dimension and Shannon entropy. The nucleotide atomic number fluctuation forms the basis of the phylogeny study. The classification reproduces the main results of traditional phylogeny analysis, but with better ability to distinguish closely related strains. The fractal dimension correlation with the GC pair content in the glycoprotein sequence and di-nucleotide entropy in the nucleoprotein suggests different evolutionary mechanisms or strategies. Extension to other flu virus suggests that low fractal dimensionality in the nucleoprotein sequence could be a marker for the Nipah and Spanish-flu-like viruses.
  • Keywords
    bioinformatics; diseases; entropy; fractals; microorganisms; molecular biophysics; proteins; GC pair content; Nipah virus classification; Nipah virus glycoprotein; Shannon entropy; Spanish-flu-like viruses; dinucleotide entropy; fractal dimension; nucleoprotein sequences; nucleotide atomic number fluctuation; phylogeny analysis; Acceleration; Capacitive sensors; Entropy; Evolution (biology); Fluctuations; Fractals; Influenza; Phylogeny; Protons; Sequences;
  • 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.2010.5515756
  • Filename
    5515756