Paper
5 October 2021 Description of evolution of neuraminidase from influenza A virus
Shaomin Yan, Guang Wu
Author Affiliations +
Proceedings Volume 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning; 119111F (2021) https://doi.org/10.1117/12.2604572
Event: 2nd International Conference on Computer Vision, Image and Deep Learning, 2021, Liuzhou, China
Abstract
Virus evolution is important because it generates new mutations, which can be harmful to humans. Because the evolution is a process along the time course, and many mathematical tools describe the phenomenon along the time course, thus it is possible to apply a mathematical tool to a virus evolution. Neuraminidase is one of two surface proteins in influenza A virus playing an important role influenza transmission, thus it is important to model its evolution. Yet, a protein sequence should be converted into numerical values in order to be workable in mathematical tools, and a driving force for evolution should be defined. In this study, first we use the amino-acid pair predictability as a measure of driving force for evolution to convert 3828 neuraminidases sampled from 1956 to 2008 into numerical values; second we use a system of differential equations to describe the mutation neuraminidases; and third we use the analytical solution to fit the evolution of neuraminidases. The results show a promising and encouraging trajectory of evolution of neuraminidases along the time course.
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Shaomin Yan and Guang Wu "Description of evolution of neuraminidase from influenza A virus", Proc. SPIE 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning, 119111F (5 October 2021); https://doi.org/10.1117/12.2604572
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KEYWORDS
Differential equations

Proteins

Biological research

Mathematical modeling

Viruses

Data modeling

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