Events MOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed.

Event submissions

Published

10.3390/mol2net-06-06811 (registering DOI)

This submission belongs to the session 02. USINEWS-04: US-IN-EU Worldwide Science Workshop Series, Duluth, USA, 2020 of the event MOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed.

Published date

06 May, 2020

Citation

Tathagata Dey, Shreyans Chatterjee, Smarajit Manna, Ashesh Nandy, Subhas C Basak, New Computational Analysis to Identify the Mutational Changes in SARS-CoV-2, in Proceedings of MOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed., 30 January 2020–30 January 2021, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-06-06811

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New Computational Analysis to Identify the Mutational Changes in SARS-CoV-2

Tathagata Dey ^1,2

Shreyans Chatterjee ^2,3

Smarajit Manna ^2,4

Ashesh Nandy ²

Subhas C Basak ^2,5

1. Computer Science Department, Government College of Engineering and Textile Technology, Serampore-712201, India, India

2. Centre for Interdisciplinary Research and Education, Kolkata-700068, India

3. Microbiology Department, St. Xavier’s College, Kolkata-700016, India

4. Jagadis Bose National Science Talent Search, Kolkata 700107, India

5. Department of Chemistry and Biochemistry, University of Minnesota, Duluth, MN, USA; sbasak@d.umn.edu

Abstract

The ongoing rapid spread of COVID-19 disease from its first detection in Wuhan, China in late 2019 was declared a pandemic by World Health Organization on 11th March, 2020. It is believed that to combat this deadly virus, now designated as SARS-CoV-2, designing and developing a proper vaccine is the best solution. For developing a sustainable vaccine against this virus, one should have a proper understanding of the mutational changes occurring constantly in its genome and also about the variations that may arise in different communities. Here, we report an algorithm to identify and characterize the mutational changes in the COVID-19 sequences isolated from different countries. The patterns in mutation along with the demographic analysis shown here can be very effective for community specific vaccine designing in the future.

Keywords

COVID-19

SARS-CoV-2

Mutation

Polar plot

Mutation distribution

Spike glycoprotein

Graphical Representation

Genome

Algorithm

Manuscript

New Computational Analysis to Identify the Mutational Changes in SARS-CoV-2.pdf

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