E3S Web Conf.
Volume 218, 20202020 International Symposium on Energy, Environmental Science and Engineering (ISEESE 2020)
|Number of page(s)||6|
|Section||Environmental Chemistry and Environmental Pollution Analysis and Control|
|Published online||11 December 2020|
Fate of Neuraminidases of Influenza A Viruses
National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Guangxi Key Laboratory of Bio-refinery Guangxi Academy of Sciences 98 Daling Road, Nanning, Guangxi, 530007 China
The current COVID-19 pandemic creates the biggest health and economic challenges to the world. However, not much knowledge is available about this coronavirus, SARS-CoV-2, because of its novelty. Indeed, it necessarily knows the fate of proteins generated by SARS-CoV-2. Anyway, before a large-scale study on proteins from SARS-CoV-2, it would be better to conduct a small-scale study on a well-known protein from influenza A viruses, because both are positive-sense RNA viruses. Thus, we applied a simple method of amino-acid pair probability to analyze 94 neuraminidases of influenza A viruses for better understanding of their fate. The results demonstrate three features of these neuraminidases: (i) the N1 neuraminidases are more susceptible to mutations, which is the current state of the neuraminidases; (ii) the N1 neuraminidases have undergone more mutations in the past, which is the history of the neuraminidases; and (iii) the N1 neuraminidases have a larger potential towards future mutations, which is the future of the neuraminidases. Moreover, our study reveals two clues on the mutation tendency, i.e. the mutations represent a degeneration process, and chickens, ducks and geese are rendered more susceptive to mutation. We hope to apply this approach to study the proteins from SARS-CoV-2 in near future.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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