Version 1
: Received: 1 April 2020 / Approved: 7 April 2020 / Online: 7 April 2020 (10:44:11 CEST)
How to cite:
Bagherzadeh, K.; Daneshvarnejad, K.; Abbasinazari, M.; azizian, H. In silico Repositioning for Dual Inhibitor Discovery of SARS-CoV-2 (COVID-19) 3C-like Protease and Papain-like Peptidase. Preprints2020, 2020040084. https://doi.org/10.20944/preprints202004.0084.v1
Bagherzadeh, K.; Daneshvarnejad, K.; Abbasinazari, M.; azizian, H. In silico Repositioning for Dual Inhibitor Discovery of SARS-CoV-2 (COVID-19) 3C-like Protease and Papain-like Peptidase. Preprints 2020, 2020040084. https://doi.org/10.20944/preprints202004.0084.v1
Bagherzadeh, K.; Daneshvarnejad, K.; Abbasinazari, M.; azizian, H. In silico Repositioning for Dual Inhibitor Discovery of SARS-CoV-2 (COVID-19) 3C-like Protease and Papain-like Peptidase. Preprints2020, 2020040084. https://doi.org/10.20944/preprints202004.0084.v1
APA Style
Bagherzadeh, K., Daneshvarnejad, K., Abbasinazari, M., & azizian, H. (2020). <em></em><strong><em>In silico</em> Repositioning for Dual Inhibitor Discovery of SARS-CoV-2 (COVID-19) 3C-like Protease and Papain-like Peptidase</strong>. Preprints. https://doi.org/10.20944/preprints202004.0084.v1
Chicago/Turabian Style
Bagherzadeh, K., Mohammad Abbasinazari and homa azizian. 2020 "<em></em><strong><em>In silico</em> Repositioning for Dual Inhibitor Discovery of SARS-CoV-2 (COVID-19) 3C-like Protease and Papain-like Peptidase</strong>" Preprints. https://doi.org/10.20944/preprints202004.0084.v1
Abstract
Aims: In late December 2019, early reports predicted the onset of a potential Coronavirus outbreak in china, given the estimate of a reproduction number for the 2019 Novel Coronavirus (COVID-19). Because of high ability of transmission and widespread prevalence, the mortality of COVID-19 infection is growing fast worldwide. Absent of an anti-COVID-19 has put scientists on the urge to repurpose already approved therapeutics or to find new active compounds against coronavirus. Here in this study, a set of computational approaches were performed in order to repurpose antivirals for dual inhibition of the frontier proteases involved in virus replication, papain-like protease (PLpro; corresponding to nsp3) and a main protease (Mpro), 3C‑like protease (3CLpro; corresponding to nsp5). Materials and Methods: In this regard, a rational virtual screening procedure including exhaustive docking techniques was performed for a database of 160 antiviral agents over 3CLpro and PLpro active sites of SARS-CoV-2. The compounds binding energies and interaction modes over 3CLpro and PLpro active sites were analyzed and ranked with the aid of free Gibbs binding energy. The most potent compounds, based on our filtering process, are then proposed as dual inhibitors of SARSC-CoV-2 proteases. Key findings: Accordingly, seven antiviral agents including two FDA approved (Nelfinavir, Valaganciclovir) and five investigational compounds (Merimepodib, Inarigivir, Remdesivir, Taribavirine and TAS106-106) are proposed as potential dual inhibitors of the enzymes necessary for RNA replication in which Remdesivir as well as Inagrivir have the highest binding affinity for both of the active sites. Significance: The mentioned drug proposed to inhibit both PLpro and 3CLpro enzymes with the aim of finding dual inhibitors of SARSC-CoV-2 proteases.
Keywords
in silico repositioning; dual inhibitor; Covid-19; 3CLpro; PLpro; remdesivir
Subject
Chemistry and Materials Science, Medicinal Chemistry
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.
