Repository logo
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. IIT Gandhinagar
  3. Chemistry
  4. CH Publications
  5. Virtual screening of FDA approved drugs against Nsp15 endoribonuclease from SARS CoV-2
 
  • Details

Virtual screening of FDA approved drugs against Nsp15 endoribonuclease from SARS CoV-2

ISSN
2573-2293
Date Issued
2020-11-01
Author(s)
Shaik, Althaf
Natarajan, Nalini
Kirubakaran, Sivapriya
Thiruvenkatam, Vijay
DOI
10.26434/chemrxiv.13265519
Abstract
This manuscript shows a detailed computational approach of carefully curated drugs that can potentially act against Nsp15, an endoribonuclease necessary for SARS-CoV2 multiplication. In our work, we have considered maximum resources available on Nsp15 including the recent crystal structure solution of the protein. Owing to the increase in demand for a cure for COVID-19, we have attempted to virtually screen an important target of SARS-CoV2 using the pre-existing FDA approved drugs. The main advantage of our work is our multi-step approach in validating our hits. We have performed initial High Throughput Virtual Screening (HTVS) of 2910 drugs. The top 20 hits were subjected to rigorous molecular docking and molecular dynamics simulations yielding a final number of 5 potential hits. In this global emergency, we have made a humble yet critical attempt by undertaking this work; we hope that our work once published may be of help in carrying out appropriate wet-lab work.
Publication link
https://doi.org/10.26434/chemrxiv.13265519
URI
https://d8.irins.org/handle/IITG2025/19673
IITGN Knowledge Repository Developed and Managed by Library

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify