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.pdfDownload PDFhttps://doi.org/10.31032/IJBPAS/2024/13.11.8481