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.
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New Computational Analysis to Identify the Mutational Changes in SARS-CoV-2
Published:
06 May 2020
by MDPI
in MOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed.
congress USINEWS-04: US-IN-EU Worldwide Science Workshop Series, Duluth, USA, 2020
https://doi.org/10.3390/mol2net-06-06811
(registering DOI)
Abstract:
Keywords: COVID-19; SARS-CoV-2; Mutation; Polar plot; qR; Mutation distribution; Spike glycoprotein; Graphical Representation; Genome; Algorithm;
