• DocumentCode
    2278574
  • Title

    Comparison of HA, NA amino acid sequences of novel influenza virus A/H1N1 and prediction of related B cell epitopes

  • Author

    Liu, Changwen ; Li, Shengtao ; Zou, Zehong ; Tao, Ailin

  • Author_Institution
    Second Affiliated Hosp. of Guangzhou Med. Univ., Guangzhou, China
  • Volume
    7
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    3871
  • Lastpage
    3873
  • Abstract
    Objective: To compare the amino acid sequences of HA, NA from novel influenza virus A/H1N1 isolates, and decipher possible B cell epitopes of HA, NA proteins. Methods: The amino acid sequences of 28 novel influenza A/H1N1 virus isolates around the world were downloaded from Genbank. Phylogenetic trees were constructed based on the amino acid sequences of HA and NA by using software Clustal X and MEGA 2.0. B cell epitopes were predicted with Protean software. Results: HA protein sequences showed a relatively larger variation comparing to NA protein sequences. Nevertheless both of them each have very less divergent amino acid residues. Software prediction results revealed the presence of 8 putative antigenic regions randomly distributed throughout HA sequence and 12 throughout NA sequence. Conclusion: the antigenicity of HA, NA protein is relatively stable in certain regions which can be used as the target regions in diagnosis and vaccine manufacturing.
  • Keywords
    biology computing; microorganisms; molecular biophysics; organic compounds; Clustal X; Genbank; HA amino acid sequences; MEGA 2.0; NA amino acid sequences; Protean software; influenza virus A/H1N1; phylogenetic trees; related B cell epitope prediction; software prediction; vaccine manufacturing; Amino acids; Influenza; Proteins; Software; Strain; Vaccines; Antigenic epitope; Influenza virus A/H1N1; hemagglutinin; neuraminidase;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5582631
  • Filename
    5582631