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

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

Chemistry & Biochemistry

Research output: Contribution to journal › Article › peer-review

14 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 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.

Original language	English (US)
Article number	104166
Journal	Computers in Biology and Medicine
Volume	129
DOIs	https://doi.org/10.1016/j.compbiomed.2020.104166
State	Published - 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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Publisher link

10.1016/j.compbiomed.2020.104166

Find It

Find It at U of M Libraries

Cite this

@article{afc3291b58ab489686e12bde485d3a57,

title = "Identification and computational analysis of mutations in SARS-CoV-2",

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.",

keywords = "COVID-19, GRANCH, Graph theory, Hotspot, Mutation, SARS-CoV-2, Statistical data, Structural protein",

author = "Tathagata Dey and Shreyans Chatterjee and Smarajit Manna and Ashesh Nandy and Basak, {Subhas C.}",

note = "Publisher Copyright: {\textcopyright} 2020 Elsevier Ltd",

year = "2021",

month = feb,

day = "1",

doi = "10.1016/j.compbiomed.2020.104166",

language = "English (US)",

volume = "129",

journal = "Computers in Biology and Medicine",

issn = "0010-4825",

publisher = "Elsevier Limited",

}

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.

PY - 2021/2/1

Y1 - 2021/2/1

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.

AB - 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.

KW - COVID-19

KW - GRANCH

KW - Graph theory

KW - Hotspot

KW - Mutation

KW - SARS-CoV-2

KW - Statistical data

KW - Structural protein

UR - http://www.scopus.com/inward/record.url?scp=85098135544&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85098135544&partnerID=8YFLogxK

U2 - 10.1016/j.compbiomed.2020.104166

DO - 10.1016/j.compbiomed.2020.104166

M3 - Article

C2 - 33383528

AN - SCOPUS:85098135544

SN - 0010-4825

VL - 129

JO - Computers in Biology and Medicine

JF - Computers in Biology and Medicine

M1 - 104166

ER -

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

Abstract

Bibliographical note

Keywords

UN SDGs

Publisher link

Find It

Other files and links

Fingerprint

Cite this