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Iranian Journal of Basic Medical Sciences، جلد ۲۵، شماره ۱۱، صفحات ۱۲۹۹-۱۳۰۷
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عنوان انگلیسی In silico analysis of the substitution mutations and evolutionary trends of the SARS-CoV-2 structural proteins in Asia
چکیده انگلیسی مقاله Objective(s): To address a highly mutable pathogen, mutations must be evaluated. SARS-CoV-2 involves changing infectivity, mortality, and treatment and vaccination susceptibility resulting from mutations.Materials and Methods: We investigated the Asian and worldwide samples of amino-acid sequences (AASs) for envelope (E), membrane (M), nucleocapsid (N), and spike (S) proteins from the announcement of the new coronavirus 2019 (COVID-19) up to January 2022. Sequence alignment to the Wuhan-2019 virus permits tracking mutations in Asian and global samples. Furthermore, we explored the evolutionary tendencies of structural protein mutations and compared the results between Asia and the globe.Results: The mutation analyses indicated that 5.81%, 70.63%, 26.59%, and 3.36% of Asian S, E, M, and N samples did not display any mutation. Additionally, the most relative mutations among the S, E, M, and N AASs occurred in the regions of 508 to 635 AA, 7 to 14 AA, 66 to 88 AA, and 164 to 205 AA in both Asian and total samples. D614G, T9I, I82T, and R203M were inferred as the most frequent mutations in S, E, M, and N AASs. Timeline research showed that substitution mutation in the location of 614 among Asian and total S AASs was detected from January 2020.Conclusion: N protein was the most non-conserved protein, and the most prevalent mutations in S, E, M, and N AASs were D614G, T9I, I82T, and R203M. Screening structural protein mutations is a robust approach for developing drugs, vaccines, and more specific diagnostic tools.
کلیدواژه‌های انگلیسی مقاله Asia, COVID-19, Evolutionary analysis, Genome-wide mutations, mutations, SARS-CoV-2
نویسندگان مقاله | Mohammad Abavisani
Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran|Department of Microbiology and Virology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran


| Karim Rahimian
Bioinformatics and Computational Omics Lab (BioCOOL), Department of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran


| Mansoor Kodori
Non communicable Diseases Research Center, Bam University of Medical sciences, Bam, Iran


| Reza Khayami
Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran


| Mahsa Mollapour Sisakht
Department of Biochemistry, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands


| Mohammadamin Mahmanzar
Department of Bioinformatics, Kish International Campus University of Tehran, Kish, Iran


| Zahra Meshkat
Department of Microbiology and Virology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
نشانی اینترنتی https://ijbms.mums.ac.ir/article_21109.html
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زبان مقاله منتشر شده en
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نوع مقاله منتشر شده Original Article
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