Issue April 2011

category image Volume 28
No. 5 (p 675-843)
April 2011
ISSN 0739-1102

Screening from the World’s Largest TCM Database Against H1N1 Virus

The swine influenza virus (H1N1) 2009 pandemic highlights the importance of having effective anti-viral strategies. Recently, oseltamivir (Tamiflu) resistant influenza viruses are identified; which further emphasizes the urgency in developing new antiviral agents. In influenza virus replication cycle, viral surface glycoprotein, hemagglutinin, is responsible for viral entry into host cells. Hence, a potentially effective antiviral strategy is to inhibit viral entry mechanism. To develop novel antiviral agent that inhibits viral entry, we analyzed 20,000 traditional Chinese medicine (TCM) ingredients in hemagglutinin subtype H1 sialic acid binding site found on H1N1 virus. We then performed molecular dynamics simulations to investigate receptor-ligand interaction of the candidates obtained from docking. Here, we report three TCM derivatives that have high binding affinities to H1 sialic acid binding site residues based on structure-based calculations. The top three derivatives, xylopine_2, rosmaricine_14 and rosmaricine_15, all have an amine group that interact with Glu83 and a pyridinium group that interact with Asp103. Molecular dynamics simulations show that these derivatives form strong hydrogen bonding with Glu83 but interact transiently with Asp103. We therefore suggest that an enhanced hemagglutinin inhibitor, based on our scaffold, should be designed to bind both Glu83 and Asp103 with high affinity.

Key words: Swine influenza virus; H1N1; Molecular dynamics; Traditional Chinese medicine (TCM); Tamiflu; Hemagglutinin.

This article can be cited as:
T-T. Chang, M-F. Sun, H-Y. Chen, F-J. Tsai, M. Fisher, J-G. Lin, C. Y-C. Chen, Screening from the World’s Largest TCM Database Against H1N1 Virus, J. Biomol Struct Dyn 28(5) 773-786 (2011).

Tung-Ti Chang1,2
Mao-Feng Sun1,3
Hsin-Yi Chen4
Fuu-Jen Tsai5
Mark Fisher6
Jaung-Geng Lin1
Calvin Yu-Chian Chen1,4,6,7*

1Laboratory of Computational and Systems Biology, School of Chinese Medicine, China Medical University, Taichung, 40402, 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
6Harvard-MIT Division of Health Sciences and Technology
77 Massachusetts Avenue
Cambridge, MA 02139, USA
7Computational and Systems Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA

Lycc@mail.cmu.edu.tw
ycc929@MIT.EDU

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