Version 1
: Received: 25 February 2020 / Approved: 28 February 2020 / Online: 28 February 2020 (02:38:05 CET)
Version 2
: Received: 8 March 2020 / Approved: 9 March 2020 / Online: 9 March 2020 (02:29:04 CET)
Sekhar Talluri, “Molecular Docking and Virtual Screening based prediction of drugs for COVID-19”, Combinatorial Chemistry & High Throughput Screening (2020) 23: 1. https://doi.org/10.2174/1386207323666200814132149
Sekhar Talluri, “Molecular Docking and Virtual Screening based prediction of drugs for COVID-19”, Combinatorial Chemistry & High Throughput Screening (2020) 23: 1. https://doi.org/10.2174/1386207323666200814132149
Sekhar Talluri, “Molecular Docking and Virtual Screening based prediction of drugs for COVID-19”, Combinatorial Chemistry & High Throughput Screening (2020) 23: 1. https://doi.org/10.2174/1386207323666200814132149
Sekhar Talluri, “Molecular Docking and Virtual Screening based prediction of drugs for COVID-19”, Combinatorial Chemistry & High Throughput Screening (2020) 23: 1. https://doi.org/10.2174/1386207323666200814132149
Abstract
SARS-CoV-2 is a betacoronavirus that was first identified during the Wuhan COVID-19 epidemic in 2019. It was listed as a potential global health threat by WHO due to high mortality, high basic reproduction number and lack of clinically approved drugs and vaccines for COVID-19. The genomic sequence of the virus responsible for COVID-19, as well as the experimentally determined three dimensional structure of the Main protease (Mpro) are available. The reported structure of the target Mpro was utilized in this study to identify potential drugs for COVID-19 using virtual high throughput screening. The results of this study confirm earlier preliminary reports based on studies of homologs that some of the drugs approved for treatment of other viral infections also have the potential for treatment of COVID-19. Approved anti-viral drugs that target proteases were ranked for potential effectiveness against COVID-19 and novel candidates for drug repurposing were identified.
Keywords
virtual HTS; docking; drug reposition; drug repurposing; coronavirus; COVID-19; 2019-nCoV; SARS-CoV-2
Subject
Medicine and Pharmacology, Pharmacology and Toxicology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
