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In Silico Characterization of Withania coagulans Bioactive Compounds as Potential Inhibitors of Hydroxymethylglutaryl (HMG-CoA) Reductase of Mus musculus
[Image: see text] Hypercholesterolemia is a mediator for the etiology of cardiovascular diseases, which are characterized as the global leading cause of mortality. We aimed to investigate the inhibitory activity of Withania coagulans compounds against 3-hydroxy-3-methylglutaryl-coenzyme A reductase...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909811/ https://www.ncbi.nlm.nih.gov/pubmed/36777558 http://dx.doi.org/10.1021/acsomega.2c07893 |
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author | Azmi, Muhammad Bilal Khan, Fearoz Asif, Uzma Khurshid, Beenish Wadood, Abdul Qureshi, Shamim Akhtar Ahmed, Syed Danish Haseen Mudassir, Hina Akram Sheikh, Sadia Ikhlaque Feroz, Nazia |
author_facet | Azmi, Muhammad Bilal Khan, Fearoz Asif, Uzma Khurshid, Beenish Wadood, Abdul Qureshi, Shamim Akhtar Ahmed, Syed Danish Haseen Mudassir, Hina Akram Sheikh, Sadia Ikhlaque Feroz, Nazia |
author_sort | Azmi, Muhammad Bilal |
collection | PubMed |
description | [Image: see text] Hypercholesterolemia is a mediator for the etiology of cardiovascular diseases, which are characterized as the global leading cause of mortality. We aimed to investigate the inhibitory activity of Withania coagulans compounds against 3-hydroxy-3-methylglutaryl-coenzyme A reductase (Hmgcr) of Mus musculus using an extensive in silico approach. The 3D structure of the Hmgcr protein is not yet known, so we performed the homology modeling using MODELLER and SWISS-MODEL tools, followed with structural validation and assessment. The PROCHECK web server showed that the top-ranked homology model from SWISS-MODEL has 93.4% of residues in the most-favorable region, the quality factor was 98%, and the Verify3D score was 91.43%, compared to the other generated models. The druggable protein-binding cavities in a 3D model of Hmgcr were investigated with the aid of commonly prescribed statin compounds using the CB-dock approach. We compiled a 3D compound library of W. coagulans, followed by drug-likeness evaluation, and found 20 eligible compounds. The pattern of consensus residues obtained from the CB-dock procedure was then used for grid-box docking of W. coagulans compounds and statin drugs using AutoDock 4.2, respectively. The results showed that withanolide R (−10.77 kcal/mol), withanolide Q (−10.56 kcal/mol), withanolide J (−10.52 kcal/mol), atorvastatin (−8.99 kcal/mol), simvastatin (−8.66 kcal/mol), and rosuvastatin (−8.58 kcal/mol) were promising candidates that bind Hmgcr protein. The key residues involved in protein–ligand (withanolide R) interactions were Y516, C526, V529, I530, M533, I535, and V537, and the formation of a H-bond was at C526, M533, and I535 residues. M533 was the consensus residue having a tendency to form a H-bond with withanolide Q, too. Molecular dynamics simulations were used to validate the top-ranked docked complexes for the stability of the modeled protein. We also predicted the pharmacokinetic properties of binding affinity-based top-ranked compounds and concluded that they could be used as potential inhibitors of Hmgcr. However, further in vitro and in vivo studies are essential to completing the drug development process. |
format | Online Article Text |
id | pubmed-9909811 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-99098112023-02-10 In Silico Characterization of Withania coagulans Bioactive Compounds as Potential Inhibitors of Hydroxymethylglutaryl (HMG-CoA) Reductase of Mus musculus Azmi, Muhammad Bilal Khan, Fearoz Asif, Uzma Khurshid, Beenish Wadood, Abdul Qureshi, Shamim Akhtar Ahmed, Syed Danish Haseen Mudassir, Hina Akram Sheikh, Sadia Ikhlaque Feroz, Nazia ACS Omega [Image: see text] Hypercholesterolemia is a mediator for the etiology of cardiovascular diseases, which are characterized as the global leading cause of mortality. We aimed to investigate the inhibitory activity of Withania coagulans compounds against 3-hydroxy-3-methylglutaryl-coenzyme A reductase (Hmgcr) of Mus musculus using an extensive in silico approach. The 3D structure of the Hmgcr protein is not yet known, so we performed the homology modeling using MODELLER and SWISS-MODEL tools, followed with structural validation and assessment. The PROCHECK web server showed that the top-ranked homology model from SWISS-MODEL has 93.4% of residues in the most-favorable region, the quality factor was 98%, and the Verify3D score was 91.43%, compared to the other generated models. The druggable protein-binding cavities in a 3D model of Hmgcr were investigated with the aid of commonly prescribed statin compounds using the CB-dock approach. We compiled a 3D compound library of W. coagulans, followed by drug-likeness evaluation, and found 20 eligible compounds. The pattern of consensus residues obtained from the CB-dock procedure was then used for grid-box docking of W. coagulans compounds and statin drugs using AutoDock 4.2, respectively. The results showed that withanolide R (−10.77 kcal/mol), withanolide Q (−10.56 kcal/mol), withanolide J (−10.52 kcal/mol), atorvastatin (−8.99 kcal/mol), simvastatin (−8.66 kcal/mol), and rosuvastatin (−8.58 kcal/mol) were promising candidates that bind Hmgcr protein. The key residues involved in protein–ligand (withanolide R) interactions were Y516, C526, V529, I530, M533, I535, and V537, and the formation of a H-bond was at C526, M533, and I535 residues. M533 was the consensus residue having a tendency to form a H-bond with withanolide Q, too. Molecular dynamics simulations were used to validate the top-ranked docked complexes for the stability of the modeled protein. We also predicted the pharmacokinetic properties of binding affinity-based top-ranked compounds and concluded that they could be used as potential inhibitors of Hmgcr. However, further in vitro and in vivo studies are essential to completing the drug development process. American Chemical Society 2023-01-30 /pmc/articles/PMC9909811/ /pubmed/36777558 http://dx.doi.org/10.1021/acsomega.2c07893 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Azmi, Muhammad Bilal Khan, Fearoz Asif, Uzma Khurshid, Beenish Wadood, Abdul Qureshi, Shamim Akhtar Ahmed, Syed Danish Haseen Mudassir, Hina Akram Sheikh, Sadia Ikhlaque Feroz, Nazia In Silico Characterization of Withania coagulans Bioactive Compounds as Potential Inhibitors of Hydroxymethylglutaryl (HMG-CoA) Reductase of Mus musculus |
title | In Silico Characterization
of Withania
coagulans Bioactive Compounds as Potential Inhibitors
of Hydroxymethylglutaryl (HMG-CoA) Reductase of Mus
musculus |
title_full | In Silico Characterization
of Withania
coagulans Bioactive Compounds as Potential Inhibitors
of Hydroxymethylglutaryl (HMG-CoA) Reductase of Mus
musculus |
title_fullStr | In Silico Characterization
of Withania
coagulans Bioactive Compounds as Potential Inhibitors
of Hydroxymethylglutaryl (HMG-CoA) Reductase of Mus
musculus |
title_full_unstemmed | In Silico Characterization
of Withania
coagulans Bioactive Compounds as Potential Inhibitors
of Hydroxymethylglutaryl (HMG-CoA) Reductase of Mus
musculus |
title_short | In Silico Characterization
of Withania
coagulans Bioactive Compounds as Potential Inhibitors
of Hydroxymethylglutaryl (HMG-CoA) Reductase of Mus
musculus |
title_sort | in silico characterization
of withania
coagulans bioactive compounds as potential inhibitors
of hydroxymethylglutaryl (hmg-coa) reductase of mus
musculus |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909811/ https://www.ncbi.nlm.nih.gov/pubmed/36777558 http://dx.doi.org/10.1021/acsomega.2c07893 |
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