Identification and computational analysis of mutations in SARS-CoV-2

Tathagata Dey; Shreyans Chatterjee; Smarajit Manna; Ashesh Nandy; Subhas C Basak

doi:10.1016/j.compbiomed.2020.104166

Identification and computational analysis of mutations in SARS-CoV-2

Comput Biol Med. 2021 Feb:129:104166. doi: 10.1016/j.compbiomed.2020.104166. Epub 2020 Dec 28.

Authors

Tathagata Dey¹, Shreyans Chatterjee², Smarajit Manna³, Ashesh Nandy⁴, Subhas C Basak⁵

Affiliations

¹ 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.
² Microbiology Department, St. Xavier's College, Kolkata, 700016, India; Centre for Interdisciplinary Research and Education, Kolkata, 700068, India.
³ Jagadis Bose National Science Talent Search, Kolkata, 700107, India; Centre for Interdisciplinary Research and Education, Kolkata, 700068, India.
⁴ Centre for Interdisciplinary Research and Education, Kolkata, 700068, India.
⁵ 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.

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 q_R 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.

Keywords: COVID-19; GRANCH; Graph theory; Hotspot; Mutation; SARS-CoV-2; Statistical data; Structural protein.

MeSH terms

Algorithms
Computational Biology*
Genes, Viral
Mutation*
Quantitative Structure-Activity Relationship
SARS-CoV-2 / genetics*