Citation

Sia, Boon Zhan and Boon, Wan Xin and Yap, Yoke Yee and Kumar, Shalini and Ng, Chong Han (2022) Prediction of the effects of the top 10 nonsynonymous variants from 30229 SARS-CoV-2 strains on their proteins. F1000Research, 11. p. 9. ISSN 2046-1402

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Abstract

SARS-CoV-2 virus is a highly transmissible pathogen that causes COVID-19. The outbreak originated in Wuhan, China in December 2019. A number of nonsynonymous mutations located at different SARS-CoV-2 proteins have been reported by multiple studies. However, there are limited computational studies on the biological impacts of these mutations on the structure and function of the proteins.  Methods: In our study nonsynonymous mutations of the SARS-CoV-2 genome and their frequencies were identified from 30,229 sequences. Subsequently, the effects of the top 10 highest frequency nonsynonymous mutations of different SARS-CoV-2 proteins were analyzed using bioinformatics tools including co-mutation analysis, prediction of the protein structure stability and flexibility analysis, and prediction of the protein functions.

Item Type:	Article
Uncontrolled Keywords:	SARS-CoV-2, nonsynonymous mutation, co-mutation, COVID-19
Subjects:	Q Science > QH Natural history > QH426 Genetics
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	02 Aug 2022 01:03
Last Modified:	02 Aug 2022 01:03
URII:	http://shdl.mmu.edu.my/id/eprint/10280

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