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Repurposing benzimidazole and benzothiazole derivatives as potential inhibitors of SARS-CoV-2: DFT, QSAR, molecular docking, molecular dynamics simulation, and in-silico pharmacokinetic and toxicity studies

Density Functional Theory (DFT) and Quantitative Structure-Activity Relationship (QSAR) studies were performed on four benzimidazoles (compounds 1–4) and two benzothiazoles (compounds 5 and 6), previously synthesized by our group. The compounds were also investigated for their binding affinity and i...

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Autores principales: Mohapatra, Ranjan K., Dhama, Kuldeep, El–Arabey, Amr Ahmed, Sarangi, Ashish K., Tiwari, Ruchi, Emran, Talha Bin, Azam, Mohammad, Al-Resayes, Saud I., Raval, Mukesh K., Seidel, Veronique, Abdalla, Mohnad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. on behalf of King Saud University. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496942/
https://www.ncbi.nlm.nih.gov/pubmed/34642560
http://dx.doi.org/10.1016/j.jksus.2021.101637
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author Mohapatra, Ranjan K.
Dhama, Kuldeep
El–Arabey, Amr Ahmed
Sarangi, Ashish K.
Tiwari, Ruchi
Emran, Talha Bin
Azam, Mohammad
Al-Resayes, Saud I.
Raval, Mukesh K.
Seidel, Veronique
Abdalla, Mohnad
author_facet Mohapatra, Ranjan K.
Dhama, Kuldeep
El–Arabey, Amr Ahmed
Sarangi, Ashish K.
Tiwari, Ruchi
Emran, Talha Bin
Azam, Mohammad
Al-Resayes, Saud I.
Raval, Mukesh K.
Seidel, Veronique
Abdalla, Mohnad
author_sort Mohapatra, Ranjan K.
collection PubMed
description Density Functional Theory (DFT) and Quantitative Structure-Activity Relationship (QSAR) studies were performed on four benzimidazoles (compounds 1–4) and two benzothiazoles (compounds 5 and 6), previously synthesized by our group. The compounds were also investigated for their binding affinity and interactions with the SARS-CoV-2 M(pro) (PDB ID: 6LU7) and the human angiotensin-converting enzyme 2 (ACE2) receptor (PDB ID: 6 M18) using a molecular docking approach. Compounds 1, 2, and 3 were found to bind with equal affinity to both targets. Compound 1 showed the highest predictive docking scores, and was further subjected to molecular dynamics (MD) simulation to explain protein stability, ligand properties, and protein–ligand interactions. All compounds were assessed for their structural, physico-chemical, pharmacokinetic, and toxicological properties. Our results suggest that the investigated compounds are potential new drug leads to target SARS-CoV-2.
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spelling pubmed-84969422021-10-08 Repurposing benzimidazole and benzothiazole derivatives as potential inhibitors of SARS-CoV-2: DFT, QSAR, molecular docking, molecular dynamics simulation, and in-silico pharmacokinetic and toxicity studies Mohapatra, Ranjan K. Dhama, Kuldeep El–Arabey, Amr Ahmed Sarangi, Ashish K. Tiwari, Ruchi Emran, Talha Bin Azam, Mohammad Al-Resayes, Saud I. Raval, Mukesh K. Seidel, Veronique Abdalla, Mohnad J King Saud Univ Sci Original Article Density Functional Theory (DFT) and Quantitative Structure-Activity Relationship (QSAR) studies were performed on four benzimidazoles (compounds 1–4) and two benzothiazoles (compounds 5 and 6), previously synthesized by our group. The compounds were also investigated for their binding affinity and interactions with the SARS-CoV-2 M(pro) (PDB ID: 6LU7) and the human angiotensin-converting enzyme 2 (ACE2) receptor (PDB ID: 6 M18) using a molecular docking approach. Compounds 1, 2, and 3 were found to bind with equal affinity to both targets. Compound 1 showed the highest predictive docking scores, and was further subjected to molecular dynamics (MD) simulation to explain protein stability, ligand properties, and protein–ligand interactions. All compounds were assessed for their structural, physico-chemical, pharmacokinetic, and toxicological properties. Our results suggest that the investigated compounds are potential new drug leads to target SARS-CoV-2. The Author(s). Published by Elsevier B.V. on behalf of King Saud University. 2021-12 2021-10-07 /pmc/articles/PMC8496942/ /pubmed/34642560 http://dx.doi.org/10.1016/j.jksus.2021.101637 Text en © 2021 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Article
Mohapatra, Ranjan K.
Dhama, Kuldeep
El–Arabey, Amr Ahmed
Sarangi, Ashish K.
Tiwari, Ruchi
Emran, Talha Bin
Azam, Mohammad
Al-Resayes, Saud I.
Raval, Mukesh K.
Seidel, Veronique
Abdalla, Mohnad
Repurposing benzimidazole and benzothiazole derivatives as potential inhibitors of SARS-CoV-2: DFT, QSAR, molecular docking, molecular dynamics simulation, and in-silico pharmacokinetic and toxicity studies
title Repurposing benzimidazole and benzothiazole derivatives as potential inhibitors of SARS-CoV-2: DFT, QSAR, molecular docking, molecular dynamics simulation, and in-silico pharmacokinetic and toxicity studies
title_full Repurposing benzimidazole and benzothiazole derivatives as potential inhibitors of SARS-CoV-2: DFT, QSAR, molecular docking, molecular dynamics simulation, and in-silico pharmacokinetic and toxicity studies
title_fullStr Repurposing benzimidazole and benzothiazole derivatives as potential inhibitors of SARS-CoV-2: DFT, QSAR, molecular docking, molecular dynamics simulation, and in-silico pharmacokinetic and toxicity studies
title_full_unstemmed Repurposing benzimidazole and benzothiazole derivatives as potential inhibitors of SARS-CoV-2: DFT, QSAR, molecular docking, molecular dynamics simulation, and in-silico pharmacokinetic and toxicity studies
title_short Repurposing benzimidazole and benzothiazole derivatives as potential inhibitors of SARS-CoV-2: DFT, QSAR, molecular docking, molecular dynamics simulation, and in-silico pharmacokinetic and toxicity studies
title_sort repurposing benzimidazole and benzothiazole derivatives as potential inhibitors of sars-cov-2: dft, qsar, molecular docking, molecular dynamics simulation, and in-silico pharmacokinetic and toxicity studies
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496942/
https://www.ncbi.nlm.nih.gov/pubmed/34642560
http://dx.doi.org/10.1016/j.jksus.2021.101637
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