Identification and computational analysis of mutations in SARS-CoV-2. (February 2021)

• Record Type: Journal Article
• Authors: Dey, Tathagata; Chatterjee, Shreyans; Manna, Smarajit; Nandy, Ashesh; Basak, Subhas C.
• Is Part Of: Computers in biology and medicine. Volume 129(2021)
• Publication Date: 2021-02
• Subjects: SARS-CoV-2 -- COVID-19 -- Mutation -- Structural protein -- GRANCH -- Hotspot -- Statistical data -- Graph theory; Medicine -- Data processing -- Periodicals; Biology -- Data processing -- Periodicals; 610.285
• DOI: 10.1016/j.compbiomed.2020.104166
• Languages: English
• ISSNs: 0010-4825

Abstract

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.