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
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