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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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.
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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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