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
Link To Document :
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