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Asian Journal of Organic & Medicinal Chemistry
Article . 2020 . Peer-reviewed
Data sources: Crossref
SSRN Electronic Journal
Article . 2020 . Peer-reviewed
Data sources: Crossref
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Screening of Kabasura Kudineer Chooranam Against COVID-19 Through Targeting of Main Protease and RNA-Dependent RNA Polymerase of SARS-CoV-2 by Molecular Docking Studies

Authors: K. Gopalasatheeskumar; Karthikeyen Lakshmanan; Anguraj Moulishankar; Jerad Suresh; D. Kumuthaveni Babu; V.K. Kalaichelvan;

Screening of Kabasura Kudineer Chooranam Against COVID-19 Through Targeting of Main Protease and RNA-Dependent RNA Polymerase of SARS-CoV-2 by Molecular Docking Studies

Abstract

COVID-19 is the infectious pandemic disease caused by the novel coronavirus. The COVID-19 is spread globally in a short span of time. The Ministry of AYUSH, India which promotes Siddha and other Indian system of medicine recommends the use of formulation like Nilavembu Kudineer and Kaba Sura Kudineer Chooranam (KSKC). The present work seeks to provide the evidence for the action of 74 different constituents of the KSKC formulation acting on two critical targets. That is main protease and SARS-CoV-2 RNA-dependent RNA polymerase target through molecular docking studies. The molecular docking was done by using AutoDock Tools 1.5.6 of the 74 compounds, about 50 compounds yielded docking results against COVID-19 main protease while 42 compounds yielded against SARS-CoV-2 RNA-dependent RNA polymerase. This research has concluded that the KSKC has the lead molecules that inhibits COVID-19’s target of main protease of COVID-19 and SARS-CoV-2 RNA-dependent RNA polymerase.

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    influence
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selected citations
These citations are derived from selected sources.
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!
5
Top 10%
Average
Average
gold