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Computational and Mathematical Methods in Medicine
Article . 2015 . Peer-reviewed
License: CC BY
Data sources: Crossref
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PubMed Central
Article . 2015
License: CC BY
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Article . 2015
Data sources: DBLP
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Molecular Docking of Potential Inhibitors for Influenza H7N9

Authors: Liu, Zekun; Zhao, Junpeng; Li, Weichen; Wang, Xinkun; Xu, Jingxuan; Xie, Jin; Tao, Ke; +2 Authors

Molecular Docking of Potential Inhibitors for Influenza H7N9

Abstract

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.

Country
United States
Related Organizations
Keywords

570, 610, Neuraminidase, Hydrogen Bonding, Influenza A Virus, H7N9 Subtype, Antiviral Agents, Cell Line, Molecular Docking Simulation, Oseltamivir, Flavanones, Humans, Quercetin, Chlorogenic Acid, Oleanolic Acid, Software, Research Article, Protein Binding

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Top 10%
Top 10%
Green
gold