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In Silico Computational Screening of Kabasura Kudineer - Official Siddha Formulation and JACOM - Novel Herbal Coded Formulation Against SARS-CoV-2 Spike protein

Authors: Kiran Gangarapu; Sathiyarajeswaran P; Kanakavalli K; Kumar KM; Ramesh Kumar D; Shreedevi MS; Karthik L;

In Silico Computational Screening of Kabasura Kudineer - Official Siddha Formulation and JACOM - Novel Herbal Coded Formulation Against SARS-CoV-2 Spike protein

Abstract

Siddha Medicine is a valuable therapeutic choice which is classically used for treating viral respiratory infections, this principle of medicine is proven to contain antiviral compounds. In this study, we executed the molecular docking studies for Phytoconstituents of Siddha official formulation Kabasura Kudineer which is used in treating viral fever and respiratory diseases and a Novel Herbal Preparation - JACOM against the ongoing pandemic of novel coronavirus disease causative agent SARS-CoV-2 Spike protein. Further, we also conducted prediction studies on the pharmacokinetics (ADME) properties and the safety profile in order to identify the best drug candidates using pkCSM and SwissADME web servers. Totally 37 compounds were screened, of these 9 compounds showed high binding efficiency. Based on these, we proposed the new formulation called as “SNACK –V”.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
3
Top 10%
Average
Average
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