Designing drugs by molecular docking to inhibit COVID-19
Abstract
The current coronavirus (COVID-19) pandemic has raised the profile of the new generation SARS-CoV-2 virus as a global health threat and its massive spread to every corner of the world has raised major concerns about the public healthcare system due to the lack of effective and reliable treatments. Therefore, it is necessary to use all possible methods to design new drugs and vaccines to reduce the disease. In this study, we designed eight Emmdpd ,Favlplravir, Hydroxychloroquine and Kifunensine -derived molecules and examined their biological potential to inhibit the main protease (Mpro) of SARS-CoV-2 through computational studies, Density Function Theory (DFT) calculations were performed on the studied compounds. Which improved the geometric structure of the compounds, The geometrically optimized structures were subjected to molecular docking calculations using the SARS-CoV-2 major protease Protein Database ID 6LU7 , Compounds 4h, 6b, 9f and 14h showed favorable pharmacological properties suitable for human use.
Downloads
Copyright (c) 2026 (Humanities, social and applied sciences) Misan Journal of Academic Studies

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The copyright is also the copyright of the magazine only.
All articles published in our magazine are subject to license terms
Creative Commons Attribution(CC BY-NC-ND 4.0) This license permits the content to be reproduced, redistributed and reused in whole or in part for any purpose free of charge, without any permission from the author(s), researcher or student.
Works submitted to Maysan Journal of Academic Studies for publication in the journal (CC BY-NC-ND 4.0) license terms. Where available content can be shared, distributed and replicated provided there is no commercial profit and appropriate credit must be given to the original source through sources or citations. It is mandatory to review any material used from other sources including shapes, tables, and images for re-use under the terms of the Creative Commons License (CC BY-NC-ND 4.0).Provided that there is no modification to the original content
