Repurposing FDA-approved Drugs Targeting SARS-CoV2 3CLpro: A Study by Applying Virtual Screening, Molecular Dynamics, MM-PBSA Calculations and Covalent Docking
Letters in Drug Design and Discovery
; 19(7):637-653, 2022.
Article
in English
| EMBASE | ID: covidwho-1968944
ABSTRACT
Background:
Since the end of 2019, the etiologic agent SAR-CoV-2 responsible for one of the most significant epidemics in history has caused severe global economic, social, and health damages. The drug repurposing approach and application of Structure-based Drug Discovery (SBDD) using in silico techniques are increasingly frequent, leading to the identification of several molecules that may represent promising potential.Methods:
In this context, here we use in silico methods of virtual screening (VS), pharmacophore modeling (PM), and fragment-based drug design (FBDD), in addition to molecular dynamics (MD), molecular mechanics/Poisson-Boltzmann surface area (MM-PBSA) calculations, and covalent docking (CD) for the identification of potential treatments against SARS-CoV-2. We initially validated the docking protocol followed by VS in 1,613 FDA-approved drugs obtained from the ZINC database. Thus, we identified 15 top hits, of which three of them were selected for further simulations. In parallel, for the compounds with a fit score value ≤ of 30, we performed the FBDD protocol, where we designed 12 compounds.Results:
By applying a PM protocol in the ZINC database, we identified three promising drug candidates. Then, the 9 top hits were evaluated in simulations of MD, MM-PBSA, and CD. Subsequently, MD showed that all identified hits showed stability at the active site without significant changes in the pro-tein's structural integrity, as evidenced by the RMSD, RMSF, Rg, SASA graphics. They also showed interactions with the catalytic dyad (His41 and Cys145) and other essential residues for activity (Glu166 and Gln189) and high affinity for MM-PBSA, with possible covalent inhibition mechanism.Conclusion:
Finally, our protocol helped identify potential compounds wherein ZINC896717 (Zafir-lukast), ZINC1546066 (Erlotinib), and ZINC1554274 (Rilpivirine) were more promising and could be explored in vitro, in vivo, and clinical trials to prove their potential as antiviral agents.
article; calculation; catalysis; computer model; controlled study; covalent bond; drug design; drug repositioning; human; in vitro study; in vivo study; male; molecular dynamics; molecular mechanics; molecular model; nonhuman; pharmacophore; Severe acute respiratory syndrome coronavirus 2; simulation; surface area; antivirus agent; erlotinib; rilpivirine; zinc
Full text:
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Collection:
Databases of international organizations
Database:
EMBASE
Language:
English
Journal:
Letters in Drug Design and Discovery
Year:
2022
Document Type:
Article
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