Issue February 2011

category image Volume 28
No. 4 (p 443-674)
February 2011
ISSN 0739-1102

Potent Inhibitor Design Against H1N1 Swine Influenza: Structure-based and Molecular Dynamics Analysis for M2 Inhibitors from Traditional Chinese Medicine Database

The rapid spread of influenza virus subtype H1N1 poses a great threat to million lives worldwide. To search for new anti-influenza compounds, we performed molecular docking and molecular dynamics simulation to identify potential traditional Chinese medicine (TCM) constituents that could block influenza M2 channel activity. Quinic acid, genipin, syringic acid, cucurbitine, fagarine, and methyl isoferulate all have extremely well docking results as compared to control amantadine. Further de novo drug design suggests that derivatives of genipin and methyl isoferulate could have enhanced binding affinity towards M2 channel. Selected molecular dynamics simulations of M2-derivative complexes show stable hydrogen bond interactions between the derivatives and M2 residues, Ser10 and Ala9. To our best knowledge, this is the first study on the anti-viral activity of the above listed TCM compounds.

This article can be cited as:
C. H. Lin, T. T. Chang, M. F. Sun, H. Y. Chen, F.J. Tsai, K. L. Chang, M. Fisher, C. Y. C. Chen, Potent Inhibitor Design Against H1N1 Swine Influenza: Structure-based and Molecular Dynamics Analysis for M2 Inhibitors from Traditional Chinese Medicine Database, J. Biomol Struct Dyn 28(4), 471-482 (2011).

Chia-Hui Lin1
Tung-Ti Chang2, 8
Mao-Feng Sun3, 8
Hsin-Yi Chen4
Fuu-Jen Tsai4,5
Kun-Lung Chang6
Mark Fisher7
Calvin Yu-Chian Chen4,7,8,9*

1Department of Chinese Medicine, China Medical University Hospital, Taiwan
2Department of Chinese Pediatrics, China Medical University Hospital, Taiwan
3Department of Acupuncture, China Medical University Hospital, Taiwan
4Department of Bioinformatics, Asia University, Taichung, 41354, Taiwan
5Department of Medical Genetics, Pediatrics and Medical Research, China Medical University Hospital and College of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan
6Department of Pharmacy, China Medical University Hospital, Taichung, 40402, Taiwan
7Harvard-MIT Division of Health Sciences and Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
8Laboratory of Computational and Systems Biology, School of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan
9Computational and Systems Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA

*Ph: +1-617-353-7123
ycc@mail.cmu.edu.tw
ycc929@mit.edu

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