• DocumentCode
    2571063
  • Title

    Combining molecular simulation techniques to predict the binding modes of oseltamivir, zanamivir and natural herb products with the neuramindase of the H1N1 influenza A virus

  • Author

    Wang, Yeng-Tseng ; Chan, Chen-Hsiung

  • Author_Institution
    Biol. & Med. Inf. Div., Center for High-Performance Comput., Tainan, Taiwan
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The neuraminidase of the influenza virus is the target of the anti-flu drugs oseltamivir and zanamivir. Clinical practices show that zanamivir and oseltamivir are effective to treat the 2009 H1N1 influenza virus. Herein, we report the findings of molecular simulations for zanamivir, oseltamivir, and Chinese natural herb products with the neuramindase of the 2009 H1N1 influenza. Our approach theoretically suggests that the Glu278 residue is responsible for the neuramindase of the 2009 influenza drug selectivity.
  • Keywords
    biochemistry; biological techniques; bonds (chemical); drugs; microorganisms; molecular biophysics; molecular dynamics method; 2009 H1N1 influenza virus; 2009 influenza drug selectivity; Glu278 residue; H1N1 influenza A virus; antiflu drugs; binding modes; molecular simulation techniques; natural herb products; neuramindase; oseltamivir; zanamivir; Biological system modeling; Biology computing; Biomedical informatics; Capacitive sensors; Computational modeling; Drugs; Influenza; Medical simulation; Predictive models; Protein sequence; H1N1 virus neuramindase; Molecular dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Technology (ICBBT), 2010 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-6775-4
  • Type

    conf

  • DOI
    10.1109/ICBBT.2010.5479022
  • Filename
    5479022