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Identification and computational analysis of mutations in SARS-CoV-2.
Comput Biol Med. 2021 02; 129:104166.CB

Abstract

SARS-CoV-2 infection has become a worldwide pandemic and is spreading rapidly to people across the globe. To combat the situation, vaccine design is the essential solution. Mutation in the virus genome plays an important role in limiting the working life of a vaccine. In this study, we have identified several mutated clusters in the structural proteins of the virus through our novel 2D Polar plot and qR characterization descriptor. We have also studied several biochemical properties of the proteins to explore the dynamics of evolution of these mutations. This study would be helpful to understand further new mutations in the virus and would facilitate the process of designing a sustainable vaccine against the deadly virus.

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Authors+Show Affiliations

Dey T
Computer Science Department, Government College of Engineering and Textile Technology, Serampore, 712201, India; Centre for Interdisciplinary Research and Education, Kolkata, 700068, India. Electronic address: tathagata2403@gmail.com.
Chatterjee S
Microbiology Department, St. Xavier's College, Kolkata, 700016, India; Centre for Interdisciplinary Research and Education, Kolkata, 700068, India.
Manna S
Jagadis Bose National Science Talent Search, Kolkata, 700107, India; Centre for Interdisciplinary Research and Education, Kolkata, 700068, India.
Nandy A
Centre for Interdisciplinary Research and Education, Kolkata, 700068, India.
Basak SC
Centre for Interdisciplinary Research and Education, Kolkata, 700068, India; Department of Chemistry and Biochemistry, University of Minnesota, Duluth, MN, USA. Electronic address: sbasak@d.umn.edu.

MeSH

AlgorithmsComputational BiologyGenes, ViralMutationQuantitative Structure-Activity RelationshipSARS-CoV-2

Pub Type(s)

Journal Article

Language

eng

PubMed ID

33383528

Citation

Dey, Tathagata, et al. "Identification and Computational Analysis of Mutations in SARS-CoV-2." Computers in Biology and Medicine, vol. 129, 2021, p. 104166.
Dey T, Chatterjee S, Manna S, et al. Identification and computational analysis of mutations in SARS-CoV-2. Comput Biol Med. 2021;129:104166.
Dey, T., Chatterjee, S., Manna, S., Nandy, A., & Basak, S. C. (2021). Identification and computational analysis of mutations in SARS-CoV-2. Computers in Biology and Medicine, 129, 104166. https://doi.org/10.1016/j.compbiomed.2020.104166
Dey T, et al. Identification and Computational Analysis of Mutations in SARS-CoV-2. Comput Biol Med. 2021;129:104166. PubMed PMID: 33383528.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Identification and computational analysis of mutations in SARS-CoV-2. AU - Dey,Tathagata, AU - Chatterjee,Shreyans, AU - Manna,Smarajit, AU - Nandy,Ashesh, AU - Basak,Subhas C, Y1 - 2020/12/28/ PY - 2020/11/08/received PY - 2020/12/04/accepted PY - 2021/1/1/pubmed PY - 2021/2/9/medline PY - 2020/12/31/entrez KW - COVID-19 KW - GRANCH KW - Graph theory KW - Hotspot KW - Mutation KW - SARS-CoV-2 KW - Statistical data KW - Structural protein SP - 104166 EP - 104166 JF - Computers in biology and medicine JO - Comput Biol Med VL - 129 N2 - SARS-CoV-2 infection has become a worldwide pandemic and is spreading rapidly to people across the globe. To combat the situation, vaccine design is the essential solution. Mutation in the virus genome plays an important role in limiting the working life of a vaccine. In this study, we have identified several mutated clusters in the structural proteins of the virus through our novel 2D Polar plot and qR characterization descriptor. We have also studied several biochemical properties of the proteins to explore the dynamics of evolution of these mutations. This study would be helpful to understand further new mutations in the virus and would facilitate the process of designing a sustainable vaccine against the deadly virus. SN - 1879-0534 UR - https://www.unboundmedicine.com/medline/citation/33383528/Identification_and_computational_analysis_of_mutations_in_SARS_CoV_2_ DB - PRIME DP - Unbound Medicine ER -