Molecular Docking of Potential Inhibitors for Influenza H7N9

Joint Authors

Liu, Zekun
Zhao, Junpeng
Li, Weichen
Wang, Xinkun
Xu, Jingxuan
Xie, Jin
Tao, Ke
Shen, Li
Zhang, Ran

Source

Computational and Mathematical Methods in Medicine

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-03-15

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Medicine

Abstract EN

As a new strain of virus emerged in 2013, avian influenza A (H7N9) virus is a threat to the public health, due to its high lethality and pathogenicity.

Furthermore, H7N9 has already generated various mutations such as neuraminidase R294K mutation which could make the anti-influenza oseltamivir less effective or ineffective.

In this regard, it is urgent to develop new effective anti-H7N9 drug.

In this study, we used the general H7N9 neuraminidase and oseltamivir-resistant influenza virus neuraminidase as the acceptors and employed the small molecules including quercetin, chlorogenic acid, baicalein, and oleanolic acid as the donors to perform the molecular docking for exploring the binding abilities between these small molecules and neuraminidase.

The results showed that quercetin, chlorogenic acid, oleanolic acid, and baicalein present oseltamivir-comparable high binding potentials with neuraminidase.

Further analyses showed that R294K mutation in neuraminidase could remarkably decrease the binding energies for oseltamivir, while other small molecules showed stable binding abilities with mutated neuraminidase.

Taken together, the molecular docking studies identified four potential inhibitors for neuraminidase of H7N9, which might be effective for the drug-resistant mutants.

American Psychological Association (APA)

Liu, Zekun& Zhao, Junpeng& Li, Weichen& Wang, Xinkun& Xu, Jingxuan& Xie, Jin…[et al.]. 2015. Molecular Docking of Potential Inhibitors for Influenza H7N9. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057912

Modern Language Association (MLA)

Liu, Zekun…[et al.]. Molecular Docking of Potential Inhibitors for Influenza H7N9. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1057912

American Medical Association (AMA)

Liu, Zekun& Zhao, Junpeng& Li, Weichen& Wang, Xinkun& Xu, Jingxuan& Xie, Jin…[et al.]. Molecular Docking of Potential Inhibitors for Influenza H7N9. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057912

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1057912