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Computational Insights into Natural Antischistosomal Metabolites as SmHDAC8 Inhibitors: Molecular Docking, ADMET Profiling, and Molecular Dynamics Simulation
Schistosomiasis is a neglected tropical disease with a significant socioeconomic impact. It is caused by several species of blood trematodes from the genus Schistosoma, with S. mansoni being the most prevalent. Praziquantel (PZQ) is the only drug available for treatment, but it is vulnerable to drug...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221329/ https://www.ncbi.nlm.nih.gov/pubmed/37233699 http://dx.doi.org/10.3390/metabo13050658 |
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author | Alzain, Abdulrahim A. Mukhtar, Rua M. Abdelmoniem, Nihal Elbadwi, Fatima A. Hussien, Amira Garelnabi, Elrashied A. E. Osman, Wadah Sherif, Asmaa E. Khedr, Amgad I. M. Ghazawi, Kholoud F. Samman, Waad A. Ibrahim, Sabrin R. M. Mohamed, Gamal A. Ashour, Ahmed |
author_facet | Alzain, Abdulrahim A. Mukhtar, Rua M. Abdelmoniem, Nihal Elbadwi, Fatima A. Hussien, Amira Garelnabi, Elrashied A. E. Osman, Wadah Sherif, Asmaa E. Khedr, Amgad I. M. Ghazawi, Kholoud F. Samman, Waad A. Ibrahim, Sabrin R. M. Mohamed, Gamal A. Ashour, Ahmed |
author_sort | Alzain, Abdulrahim A. |
collection | PubMed |
description | Schistosomiasis is a neglected tropical disease with a significant socioeconomic impact. It is caused by several species of blood trematodes from the genus Schistosoma, with S. mansoni being the most prevalent. Praziquantel (PZQ) is the only drug available for treatment, but it is vulnerable to drug resistance and ineffective in the juvenile stage. Therefore, identifying new treatments is crucial. SmHDAC8 is a promising therapeutic target, and a new allosteric site was discovered, providing the opportunity for the identification of a new class of inhibitors. In this study, molecular docking was used to screen 13,257 phytochemicals from 80 Saudi medicinal plants for inhibitory activity on the SmHDAC8 allosteric site. Nine compounds with better docking scores than the reference were identified, and four of them (LTS0233470, LTS0020703, LTS0033093, and LTS0028823) exhibited promising results in ADMET analysis and molecular dynamics simulation. These compounds should be further explored experimentally as potential allosteric inhibitors of SmHDAC8. |
format | Online Article Text |
id | pubmed-10221329 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102213292023-05-28 Computational Insights into Natural Antischistosomal Metabolites as SmHDAC8 Inhibitors: Molecular Docking, ADMET Profiling, and Molecular Dynamics Simulation Alzain, Abdulrahim A. Mukhtar, Rua M. Abdelmoniem, Nihal Elbadwi, Fatima A. Hussien, Amira Garelnabi, Elrashied A. E. Osman, Wadah Sherif, Asmaa E. Khedr, Amgad I. M. Ghazawi, Kholoud F. Samman, Waad A. Ibrahim, Sabrin R. M. Mohamed, Gamal A. Ashour, Ahmed Metabolites Article Schistosomiasis is a neglected tropical disease with a significant socioeconomic impact. It is caused by several species of blood trematodes from the genus Schistosoma, with S. mansoni being the most prevalent. Praziquantel (PZQ) is the only drug available for treatment, but it is vulnerable to drug resistance and ineffective in the juvenile stage. Therefore, identifying new treatments is crucial. SmHDAC8 is a promising therapeutic target, and a new allosteric site was discovered, providing the opportunity for the identification of a new class of inhibitors. In this study, molecular docking was used to screen 13,257 phytochemicals from 80 Saudi medicinal plants for inhibitory activity on the SmHDAC8 allosteric site. Nine compounds with better docking scores than the reference were identified, and four of them (LTS0233470, LTS0020703, LTS0033093, and LTS0028823) exhibited promising results in ADMET analysis and molecular dynamics simulation. These compounds should be further explored experimentally as potential allosteric inhibitors of SmHDAC8. MDPI 2023-05-15 /pmc/articles/PMC10221329/ /pubmed/37233699 http://dx.doi.org/10.3390/metabo13050658 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Alzain, Abdulrahim A. Mukhtar, Rua M. Abdelmoniem, Nihal Elbadwi, Fatima A. Hussien, Amira Garelnabi, Elrashied A. E. Osman, Wadah Sherif, Asmaa E. Khedr, Amgad I. M. Ghazawi, Kholoud F. Samman, Waad A. Ibrahim, Sabrin R. M. Mohamed, Gamal A. Ashour, Ahmed Computational Insights into Natural Antischistosomal Metabolites as SmHDAC8 Inhibitors: Molecular Docking, ADMET Profiling, and Molecular Dynamics Simulation |
title | Computational Insights into Natural Antischistosomal Metabolites as SmHDAC8 Inhibitors: Molecular Docking, ADMET Profiling, and Molecular Dynamics Simulation |
title_full | Computational Insights into Natural Antischistosomal Metabolites as SmHDAC8 Inhibitors: Molecular Docking, ADMET Profiling, and Molecular Dynamics Simulation |
title_fullStr | Computational Insights into Natural Antischistosomal Metabolites as SmHDAC8 Inhibitors: Molecular Docking, ADMET Profiling, and Molecular Dynamics Simulation |
title_full_unstemmed | Computational Insights into Natural Antischistosomal Metabolites as SmHDAC8 Inhibitors: Molecular Docking, ADMET Profiling, and Molecular Dynamics Simulation |
title_short | Computational Insights into Natural Antischistosomal Metabolites as SmHDAC8 Inhibitors: Molecular Docking, ADMET Profiling, and Molecular Dynamics Simulation |
title_sort | computational insights into natural antischistosomal metabolites as smhdac8 inhibitors: molecular docking, admet profiling, and molecular dynamics simulation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221329/ https://www.ncbi.nlm.nih.gov/pubmed/37233699 http://dx.doi.org/10.3390/metabo13050658 |
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