IN SILICO COMPUTATIONAL SCREENING OF PHYTOCONSTITUENTS OF POLYHERBAL FORMULATION SUKKUMALLI KASHAYAM AGAINST MPRO, SPIKE PROTEIN AND TMPRSS2 PROTEASE INHIBITOR FOR SARS-COV-2
Authors: Priya J , ASHIKA BALKIS MN AND LOGAPRIYA P

ABSTRACT
The Outbreak of COVID-19 by SARS-CoV-2 infection caused severe acute respiratory syndrome has posed a serious threat to mankind across the world, with Wuhan as epicentre for its spread. These days, immunomodulators, antiviral medications, anti-SARS-CoV-2 monoclonal antibodies, anti-inflammatory medications, and vaccines are used to treat SARS- CoV-2. On the other hand, studies on the long-term risks associated with synthetic pharmaceuticals and COVID-19 vaccinations are currently in progress, which has allowed researchers to search for a different therapeutic agent that has less adverse effects. Since ancient times, both developed and developing nations have utilized herbal medicines to treat a variety of illnesses. Using Insilico computational evaluation, the current study aims to evaluate Sukkumalli Kashayam (SMK), a polyherbal formulation, for the existence of effective bioactive components against COVID-19. GC-MS analysis of SMK revealed the presence of 14 phytoconstituents, and the drug likeliness of 14 phytoconstituents was screened by web tool Swiss ADME. Of these, six components that complied with Lipinski's rule of five were chosen
Publication date: 01/11/2024
    https://ijbpas.com/pdf/2024/November/MS_IJBPAS_2024_8481.pdf
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https://doi.org/10.31032/IJBPAS/2024/13.11.8481