In Silico Screening of Some Naturally Occurring Bioactive Compounds Predicts Potential Inhibitors against SARS-COV-2 (COVID-19) Protease
Ashok Kumar Mishra, Satya Prakash Tewari

TL;DR
This study uses computational methods to identify natural compounds from Anthocephalus Cadamba as potential inhibitors of SARS-CoV-2 protease, suggesting candidates for anti-COVID-19 drug development.
Contribution
It introduces a novel in silico screening approach focusing on natural compounds to find potential COVID-19 inhibitors, highlighting Oleanic Acid as a promising candidate.
Findings
Oleanic Acid shows strong binding affinity to SARS-CoV-2 protease.
Several natural compounds identified as potential inhibitors.
Natural compounds may offer cost-effective and low-side-effect COVID-19 treatments.
Abstract
SARS-COV-2 identified as COVID-19 in Wuhan city of China in the month of December, 2019 has now been declared as pandemic by World Health Organization whose transmission chain and cure both have emerged as a tough problem for the medical fraternity. The reports pertaining to the treatment of this pandemic are still lacking. We firmly believe that Nature itself provides a simple solution for any complicated problem created in it which motivated us to carry out In Silico investigations on some bioactive natural compounds reportedly found in the fruits and leaves of Anthocephalus Cadamba which is a miraculous plant found on the earth aiming to predict the potential inhibitors against aforesaid virus. Having modeled the ground state ligand structure of the such nine natural compounds applying density functional theory at B3LYP/631+G (d, p) level we have performed their molecular docking…
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Taxonomy
TopicsComputational Drug Discovery Methods · Diverse Scientific Research Studies · SARS-CoV-2 and COVID-19 Research
