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Computational guided drug repurposing for targeting 2′-O-ribose methyltransferase of SARS-CoV-2

Authors: Kedar Sharma; Sudhir Morla; Arun Goyal; Sachin Kumar;

Computational guided drug repurposing for targeting 2′-O-ribose methyltransferase of SARS-CoV-2

Abstract

The recent outbreak of pandemic severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has led the world towards global health emergency. Currently no proper medicine or effective treatment strategies are available, therefore repurposing may play an important role in overcoming the situation. The SARS-CoV-2 genome encodes for 2-O-methyltransferase (2’OMTase) which plays a key role in methylation of viral RNA for evading host immune system. In the present study, the protein sequence of 2’OMTase of SARS-CoV-2 was analysed and its structure was modeled by comparative modeling approach and validated. The modeled structure displayed the conserved characteristic fold of class I MTase family. The library of 3000 drugs was screened against the active site of 2’OMTase. The docking analysis displayed that the active site of 2’OMTase accommodates an array of drugs which includes alkaloids, antivirals, cardiac glycosides, anticancer, steroids and other drugs. The results suggested that these drugs may be used potential inhibitors for 2’OMTase for combating the SARS-CoV-2 infection.

Keywords

Sequence Homology, Amino Acid, SARS-CoV-2, Pneumonia, Viral, Drug Repositioning, COVID-19, Computational Biology, General Medicine, Methyltransferases, Molecular Dynamics Simulation, Antiviral Agents, Methylation, General Biochemistry, Genetics and Molecular Biology, Article, Molecular Docking Simulation, Betacoronavirus, Humans, Molecular Targeted Therapy, General Pharmacology, Toxicology and Pharmaceutics, Enzyme Inhibitors, Coronavirus Infections, Pandemics

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    24
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Average
Top 10%
Green
hybrid