Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed

Spatial Distribution of Amino Acids of the SARS-CoV2 Proteins

Version 1 : Received: 2 April 2020 / Approved: 3 April 2020 / Online: 3 April 2020 (15:10:51 CEST)
Version 2 : Received: 3 April 2020 / Approved: 6 April 2020 / Online: 6 April 2020 (14:00:15 CEST)

How to cite: Rout, R.K.; Hassan, S.S. Spatial Distribution of Amino Acids of the SARS-CoV2 Proteins. Preprints 2020, 2020040034. https://doi.org/10.20944/preprints202004.0034.v2 Rout, R.K.; Hassan, S.S. Spatial Distribution of Amino Acids of the SARS-CoV2 Proteins. Preprints 2020, 2020040034. https://doi.org/10.20944/preprints202004.0034.v2

Abstract

The world is now undergoing through a global emergency due to COVID-19 which needs immediate remedies in order to strengthen the healthcare facility to save the nations. Looking towards to the remedies, research on different aspects including the genomic and proteomic level characterizations of the SARS-CoV2 are necessarily important. In this present study, the spatial representation/composition of twenty amino acids across the primary protein sequences of SARS-CoV2 have been looked into through different parameters viz. Shannon entropy, Hurst exponent in order to fetch the autocorrelation and amount of information over the spatial representations. Also frequency distribution of each of the amino acids over the protein sequences have been chalked out.

Keywords

Shannon entropy; Hurst exponent; Amino acid; Frequency distribution; \& SARS-CoV2

Subject

Computer Science and Mathematics, Applied Mathematics

Comments (1)

Comment 1
Received: 6 April 2020
Commenter: Sk Sarif Hassan
Commenter's Conflict of Interests: Author
Comment: The article has been modified a little with some additions for better presentations.
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