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Binding mechanism of oseltamivir and influenza neuraminidase suggests perspectives for the design of new anti-influenza drugs.

Authors :
Jiaye Tao
Heping Wang
Wenjian Wang
Na Mi
Wei Zhang
Qiujia Wen
Jiajing Ouyang
Xinyun Liang
Min Chen
Wentao Guo
Guoming Li
Jun Liu
Hanning Zhao
Xin Wang
Xuemeng Li
Shengjun Feng
Xinguang Liu
Zhiwei He
Zuguo Zhao
Source :
PLoS Computational Biology, Vol 18, Iss 7, p e1010343 (2022)
Publication Year :
2022
Publisher :
Public Library of Science (PLoS), 2022.

Abstract

Oseltamivir is a widely used influenza virus neuraminidase (NA) inhibitor that prevents the release of new virus particles from host cells. However, oseltamivir-resistant strains have emerged, but effective drugs against them have not yet been developed. Elucidating the binding mechanisms between NA and oseltamivir may provide valuable information for the design of new drugs against NA mutants resistant to oseltamivir. Here, we conducted large-scale (353.4 μs) free-binding molecular dynamics simulations, together with a Markov State Model and an importance-sampling algorithm, to reveal the binding process of oseltamivir and NA. Ten metastable states and five major binding pathways were identified that validated and complemented previously discovered binding pathways, including the hypothesis that oseltamivir can be transferred from the secondary sialic acid binding site to the catalytic site. The discovery of multiple new metastable states, especially the stable bound state containing a water-mediated hydrogen bond between Arg118 and oseltamivir, may provide new insights into the improvement of NA inhibitors. We anticipated the findings presented here will facilitate the development of drugs capable of combating NA mutations.

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
1553734X and 15537358
Volume :
18
Issue :
7
Database :
Directory of Open Access Journals
Journal :
PLoS Computational Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.15438badacbc4bf89a6c836d75837631
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pcbi.1010343