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World Journal of Pharmaceutical
and Medical Research

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Pharmaceutical and Medical Research and Technology
An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)
ISSN 2455-3301
IMPACT FACTOR: 5.922

ICV : 78.6

Abstract

STRUCTURE, PATHWAY PREDICTION FOR FUNCTIONAL ELEMENTS OF E2 GLYCOPROTEIN PRECURSOR IN SARS-COV-2 TO ANALYZE IT'S ROLE IN COVID- 19 DISEASE

Subodh Choukidar*, Talib Yusuf, Talib S. H. and Sanjay N. Harke

ABSTRACT

The COVID-19 is caused by SARS-CoV-2 (Severe Acute Respiratory Syndrome Corona Virus -2). It has became a major global health issue of 2019-20.[2] It’s single stranded RNA virus of approximately 30 kb genomic length. Due to positive sense it has ability of rapidly translate it's genome in the host cell.[9] Reason for spread of disease from human to human is via droplets or direct contact with infected person. The World Health Organization (WHO) declared COVID-19 outbreak as sixth public health emergency of international concern (PHEIC) on 30 January 2020.[5] More research is needed to identify the structural as well as functional characteristics of SARSCoV- 2’s proteins that are essential for pathogenic mechanism.[2] In this study our aim is to analyze the structural features of E2 glycoprotein precursor which is trans membrane protein of SARS-CoV-2 by performing structure validation. Further it has been observed het group NAG (N-Acetyl-D-Glucosamine) in the protein's structure by predicting secondary structure features, which has the ability to induce the cell apoptosis mechanism by it’s catalytic activity.[14] The said study is to implement the correlation between activity of NAG group of the protein inside the cellular environment and their possible adverse effects on human body. This will help us in identification of the possible functional activity of E2 glycoprotein precursor in pathogenesis with the help of advance computational biology named Bioinformatics. Swiss model (Automated protein structure homology modeling server), PDBsum, KEGG Database above said server and program are used to analyze the activity.[1,10,11,12,13]

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