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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 7

Issue Published : 74

Article Submitted : 3609

Article Published : 2079

Total Authors : 5515

Total Reviewer : 528

Total Countries : 39

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Paper Title: In-silico screening of potential immune-boosting phytocompounds from several medicinal plants against SARS-CoV-2
Authors Name: Rahul koli , V. S. Mannur , Shankar Gharge , Ravichandra Nadagouda
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IJRTI_182394
Published Paper Id: IJRTI2206070
Published In: Volume 7 Issue 6, June-2022
DOI:
Abstract: Ayurvedic medicines are the traditional medicinal system of India and they are usually composed of mixture of herbal drugs or the extracts of the active principles of various plants having therapeutic activities. Based on the available literature the following plants Tinospora cardifolia (Guduchi), Piper longum (Pippali), Glycyrrhiza glabra (Licorice) and Withania somnifera (Ashwagandha) are used as a preventive measure against various diseases, which acts by boosting the immunity against the severity of infection caused by novel coronavirus (COVID-19). In the present study the selected active constituents from above mentioned plants were used to carry out in-silico studies against covid19. MolSoft and Admet SAR2.0 were used to predict the drug likeness score and pharmacokinetic profile of phytoconstituents and protein-ligand interaction of selected phytocompounds were predicted from AutoDock Vina by PyRx 0.8 and visualization is done by BIOVIA Discovery Studio 2021. Present study concluded that, amongst all the selected phytocompounds, Withanolide D has shown good binding affinity of -8.9kcal/mol with COVID-19 main protease 3CLpro and also Withanolide D has shown good binding affinity of -9.1kcal/mol with SARS-CoV main peptidase 2GTB. The study provides the scientific evidence of this Ayurvedic formulation to combat COVID-19.
Keywords: Molecular docking, Herbal, Withanolide D, COVID-19, Druggability
Cite Article: "In-silico screening of potential immune-boosting phytocompounds from several medicinal plants against SARS-CoV-2", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.406 - 415, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206070.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2206070
Registration ID:182394
Published In: Volume 7 Issue 6, June-2022
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Page No: 406 - 415
Country: Belagavi, Karnataka, India
Research Area: Pharmacy
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2206070
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2206070
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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