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

Tathagata Dey, Shreyans Chatterjee, Smarajit Manna, Ashesh Nandy, Subhas C. Basak

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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.

Original languageEnglish (US)
Article number104166
JournalComputers in Biology and Medicine
Volume129
DOIs
StatePublished - Feb 1 2021

Bibliographical note

Publisher Copyright:
© 2020 Elsevier Ltd

Keywords

  • COVID-19
  • GRANCH
  • Graph theory
  • Hotspot
  • Mutation
  • SARS-CoV-2
  • Statistical data
  • Structural protein

PubMed: MeSH publication types

  • Journal Article

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