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Study of statistical properties of GB-speckles, generated on nucleotide sequences of the SARS–CoV-2 gene «S»

Sergey Zaitsev, Federal Research Center for Virology and Microbiology, Branch in Saratov, Russia.

Maria Khizhnyakova, Federal Research Center for Virology and Microbiology, Branch in Saratov, Russia.

Yuriy Saltykov, Federal Research Center for Virology and Microbiology, Branch in Saratov, Russia.


Onega Ulianova, Department of Medical Physics, Saratov State University, Saratov, Russia,

Sergey Ulyanov, Federal Research Center for Virology and Microbiology, Branch in Saratov, Russia. Department of Medical Physics, Saratov State University, Saratov, Russia.

Alexander Ulyanov, Rocolabs, 27 West 24th Street Suite 704, New York, NY,

Valentina Feodorova, Federal Research Center for Virology and Microbiology, Branch in Saratov, Russia.

Abstract

In the present time, the Spike Glycoprotein (coding the gene «S») of SARS–CoV-2 is used as the target antigen in the vaccine development against COVID-19. In this study sequence of Spike Glycoprotein of SARS-CoV-2, encoding structural proteins, has been transformed into the sequence of numbers with purpose to generate gene-based speckles. Two gene sequences S, derived from different strains, isolated in Morocco (Genbank: MT731468.1) and USA (Genbank: MT449638.1) have been chosen at random. Differences in the initial nucleotide sequences have been found and characterized by means of virtual optical gene-based speckles.

Speaker

Sergey Zaitsev
Federal Research Center for Virology and Microbiology, Branch in Saratov
Russia.

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