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In Silico computational screening of Kabasura Kudineer - Official Siddha Formulation and JACOM against SARS-CoV-2 spike protein
Journal of Ayurveda and Integrative Medicine ; 13(1):8, 2022.
Article in English | Web of Science | ID: covidwho-1885856
ABSTRACT

Background:

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.

Objective:

The study is aimed to execute the In Silico computational studies of phytoconstituents of Siddha official formulation Kabasura Kudineer and novel herbal preparation JACOM which are commonly used in treating viral fever and respiratory infectious diseases and could be affective against the ongoing pandemic novel corona virus disease SARS-CoV-2.

Method:

Cresset Flare software was used for molecular docking studies against the spike protein SARSCoV-2 (PDB ID 6VSB). Further, we also conducted in silico prediction studies on the pharmacokinetics (ADME) properties and the safety profile in order to identify the best drug candidates by using online pkCSM and SwissADME web servers.

Results:

Totally 37 compounds were screened, of these 9 compounds showed high binding affinity against SARS-CoV-2 spike protein. All the phytoconstituents were free from carcinogenic and tumorigenic properties. Based on these, we proposed the new formulation called as "SNACKeV"

Conclusion:

Based on further experiments and clinical trials, these formulations could be used for effective treatment of COVID-19. (c) 2020 The Authors. Published by Elsevier B.V. on behalf of Institute of Transdisciplinary Health Sciences and Technology and World Ayurveda Foundation. This is an open access article under the CC BY-NC-ND license (http//creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords

Full text: Available Collection: Databases of international organizations Database: Web of Science Topics: Traditional medicine Language: English Journal: Journal of Ayurveda and Integrative Medicine Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Web of Science Topics: Traditional medicine Language: English Journal: Journal of Ayurveda and Integrative Medicine Year: 2022 Document Type: Article