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: Ranjan K. Mohapatra, Kuldeep Dhama, Amr Ahmed El–Arabey, Ashish K. Sarangi, Ruchi Tiwari, Talha Bin Emran, Mohammad Azam, Saud I. Al-Resayes, Mukesh K. Raval, Veronique Seidel, Mohnad Abdalla
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Lenguaje:EN
Publicado: Elsevier 2021
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DFT
Acceso en línea:https://doaj.org/article/19f3914ae3da4a4d98dc0f4a3dd14e0c
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spelling oai:doaj.org-article:19f3914ae3da4a4d98dc0f4a3dd14e0c2021-11-18T04:44:15ZRepurposing benzimidazole and benzothiazole derivatives as potential inhibitors of SARS-CoV-2: DFT, QSAR, molecular docking, molecular dynamics simulation, and in-silico pharmacokinetic and toxicity studies1018-364710.1016/j.jksus.2021.101637https://doaj.org/article/19f3914ae3da4a4d98dc0f4a3dd14e0c2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1018364721002998https://doaj.org/toc/1018-3647Density 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 Mpro (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.Ranjan K. MohapatraKuldeep DhamaAmr Ahmed El–ArabeyAshish K. SarangiRuchi TiwariTalha Bin EmranMohammad AzamSaud I. Al-ResayesMukesh K. RavalVeronique SeidelMohnad AbdallaElsevierarticleDFTQSARSARS-CoV-2 MproACE2Molecular dockingMD simulationScience (General)Q1-390ENJournal of King Saud University: Science, Vol 33, Iss 8, Pp 101637- (2021)
institution DOAJ
collection DOAJ
language EN
topic DFT
QSAR
SARS-CoV-2 Mpro
ACE2
Molecular docking
MD simulation
Science (General)
Q1-390
spellingShingle DFT
QSAR
SARS-CoV-2 Mpro
ACE2
Molecular docking
MD simulation
Science (General)
Q1-390
Ranjan K. Mohapatra
Kuldeep Dhama
Amr Ahmed El–Arabey
Ashish K. Sarangi
Ruchi Tiwari
Talha Bin Emran
Mohammad Azam
Saud I. Al-Resayes
Mukesh K. Raval
Veronique Seidel
Mohnad Abdalla
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
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 Mpro (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.
format article
author Ranjan K. Mohapatra
Kuldeep Dhama
Amr Ahmed El–Arabey
Ashish K. Sarangi
Ruchi Tiwari
Talha Bin Emran
Mohammad Azam
Saud I. Al-Resayes
Mukesh K. Raval
Veronique Seidel
Mohnad Abdalla
author_facet Ranjan K. Mohapatra
Kuldeep Dhama
Amr Ahmed El–Arabey
Ashish K. Sarangi
Ruchi Tiwari
Talha Bin Emran
Mohammad Azam
Saud I. Al-Resayes
Mukesh K. Raval
Veronique Seidel
Mohnad Abdalla
author_sort Ranjan K. Mohapatra
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_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_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_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
publisher Elsevier
publishDate 2021
url https://doaj.org/article/19f3914ae3da4a4d98dc0f4a3dd14e0c
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