Abstract
The spike protein of COVID-19 original strain D614 contains three antigenic long fragments with 37 amino acids or more, namely D614, N148 and I358. The antigen precision is 25.23, 26.92, and 31.66, respectively. The mutation time of these three long fragments was 3, 10 and 23.4 months after the COVID-19 outbreak. There is a correlation between antigen precision and mutation time, R2 = 0.996. The precision of these long antigens determines the difficulty of mutation, which has statistical significance after statistical testing, P = 0.03. The mutations caused by long antigen mutations are the D614G strain, Delta strain, and Omicron strain that cause the world pandemic. This discovery will provide a simple tool for predicting mutations, which can be used not only to predict mutations of COVID-19, but also to predict mutations of pathogens of other infectious diseases and has reference value for mutation prediction of new infectious diseases in the future.
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Acknowledgments
The project is supported by Research Starting Funding from Shantou University (Number NTF21021).
Recommender: LU Jiahai, Professor, Sun Yat-sen University in China.
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Zuo, PJ., Zuo, LL., Li, ZH., Li, LP. (2024). Mutation and Prediction of COVID-19. In: Cao, BY., Wang, SF., Nasseri, H., Zhong, YB. (eds) Intelligent Systems and Computing. ICFIE 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 207. Springer, Singapore. https://doi.org/10.1007/978-981-97-2891-6_32
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DOI: https://doi.org/10.1007/978-981-97-2891-6_32
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