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Structural analysis of the novel influenza A (H7N9) viral Neuraminidase interactions with current approved neuraminidase inhibitors Oseltamivir, Zanamivir, and Peramivir in the presence of mutation…

Overview of attention for article published in BMC Bioinformatics, October 2013
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Title
Structural analysis of the novel influenza A (H7N9) viral Neuraminidase interactions with current approved neuraminidase inhibitors Oseltamivir, Zanamivir, and Peramivir in the presence of mutation R289K
Published in
BMC Bioinformatics, October 2013
DOI 10.1186/1471-2105-14-s16-s7
Pubmed ID
Authors

Chinh Tran-To Su, Xuchang Ouyang, Jie Zheng, Chee-Keong Kwoh

Abstract

Since late March 2013, there has been another global health concern with a sudden wave of flu infections by a novel strain of avian influenza A (H7N9) virus in China. To-date, there have been more than 100 infections with 23 deaths. It is more worrying as this viral strain has never been detected in humans and only been found to be of low-pathogenicity. Currently, there are 3 effective neuraminidase inhibitors for this H7N9 virus strain, i.e. oseltamivir, zanamivir, and peramivir. These drugs have been used for treatment of the H7N9 influenza in China. However, how these inhibitors work and affect the binding cavity of the novel H7N9 neuraminidase in the presence of potential mutations has not been disclosed. In our study, we investigate steric effects and subsequently show the conformational restraints of the inhibitor-binding site of the non-mutated and mutated H7N9 neuraminidase structures to different drug compounds.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 3%
Germany 1 3%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 27%
Student > Bachelor 5 17%
Student > Master 4 13%
Researcher 3 10%
Professor > Associate Professor 2 7%
Other 4 13%
Unknown 4 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 40%
Medicine and Dentistry 6 20%
Biochemistry, Genetics and Molecular Biology 4 13%
Immunology and Microbiology 2 7%
Environmental Science 1 3%
Other 1 3%
Unknown 4 13%