Unknown

Dataset Information

0

High throughput virtual screening reveals SARS-CoV-2 multi-target binding natural compounds to lead instant therapy for COVID-19 treatment.


ABSTRACT: The present-day world is severely suffering from the recently emerged SARS-CoV-2. The lack of prescribed drugs for the deadly virus has stressed the likely need to identify novel inhibitors to alleviate and stop the pandemic. In the present high throughput virtual screening study, we used in silico techniques like receptor-ligand docking, Molecular dynamic (MD), and ADME properties to screen natural compounds. It has been documented that many natural compounds display antiviral activities, including anti-SARS-CoV effect. The present study deals with compounds of Natural Product Activity and Species Source (NPASS) database with known biological activity that probably impedes the activity of six essential enzymes of the virus. Promising drug-like compounds were identified, demonstrating better docking score and binding energy for each druggable targets. After an extensive screening analysis, three novel multi-target natural compounds were predicted to subdue the activity of three/more major drug targets simultaneously. Concerning the utility of natural compounds in the formulation of many therapies, we propose these compounds as excellent lead candidates for the development of therapeutic drugs against SARS-CoV-2.

SUBMITTER: Naik B 

PROVIDER: S-EPMC7250083 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

High throughput virtual screening reveals SARS-CoV-2 multi-target binding natural compounds to lead instant therapy for COVID-19 treatment.

Naik Biswajit B   Gupta Nidhi N   Ojha Rupal R   Singh Satyendra S   Prajapati Vijay Kumar VK   Prusty Dhaneswar D  

International journal of biological macromolecules 20200526


The present-day world is severely suffering from the recently emerged SARS-CoV-2. The lack of prescribed drugs for the deadly virus has stressed the likely need to identify novel inhibitors to alleviate and stop the pandemic. In the present high throughput virtual screening study, we used in silico techniques like receptor-ligand docking, Molecular dynamic (MD), and ADME properties to screen natural compounds. It has been documented that many natural compounds display antiviral activities, inclu  ...[more]

Similar Datasets

| S-EPMC10222270 | biostudies-literature
| S-EPMC6015058 | biostudies-literature
| S-EPMC9114918 | biostudies-literature
| S-EPMC9020225 | biostudies-literature
| S-EPMC2944895 | biostudies-literature
| S-EPMC7176223 | biostudies-literature
| S-EPMC7952493 | biostudies-literature
| S-EPMC7484589 | biostudies-literature
| S-EPMC8364251 | biostudies-literature
| S-EPMC7994965 | biostudies-literature