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Docking, Binding Free Energy Calculations and In Vitro Characterization of Pyrazine Linked 2-Aminobenzamides as Novel Class I Histone Deacetylase (HDAC) Inhibitors
Class I histone deacetylases, HDAC1, HDAC2, and HDAC3, represent potential targets for cancer treatment. However, the development of isoform-selective drugs for these enzymes remains challenging due to their high sequence and structural similarity. In the current study, we applied a computational ap...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9032825/ https://www.ncbi.nlm.nih.gov/pubmed/35458724 http://dx.doi.org/10.3390/molecules27082526 |
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author | Bülbül, Emre F. Melesina, Jelena Ibrahim, Hany S. Abdelsalam, Mohamed Vecchio, Anita Robaa, Dina Zessin, Matthes Schutkowski, Mike Sippl, Wolfgang |
author_facet | Bülbül, Emre F. Melesina, Jelena Ibrahim, Hany S. Abdelsalam, Mohamed Vecchio, Anita Robaa, Dina Zessin, Matthes Schutkowski, Mike Sippl, Wolfgang |
author_sort | Bülbül, Emre F. |
collection | PubMed |
description | Class I histone deacetylases, HDAC1, HDAC2, and HDAC3, represent potential targets for cancer treatment. However, the development of isoform-selective drugs for these enzymes remains challenging due to their high sequence and structural similarity. In the current study, we applied a computational approach to predict the selectivity profile of developed inhibitors. Molecular docking followed by MD simulation and calculation of binding free energy was performed for a dataset of 2-aminobenzamides comprising 30 previously developed inhibitors. For each HDAC isoform, a significant correlation was found between the binding free energy values and in vitro inhibitory activities. The predictive accuracy and reliability of the best preforming models were assessed on an external test set of newly designed and synthesized inhibitors. The developed binding free-energy models are cost-effective methods and help to reduce the time required to prioritize compounds for further studies. |
format | Online Article Text |
id | pubmed-9032825 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90328252022-04-23 Docking, Binding Free Energy Calculations and In Vitro Characterization of Pyrazine Linked 2-Aminobenzamides as Novel Class I Histone Deacetylase (HDAC) Inhibitors Bülbül, Emre F. Melesina, Jelena Ibrahim, Hany S. Abdelsalam, Mohamed Vecchio, Anita Robaa, Dina Zessin, Matthes Schutkowski, Mike Sippl, Wolfgang Molecules Article Class I histone deacetylases, HDAC1, HDAC2, and HDAC3, represent potential targets for cancer treatment. However, the development of isoform-selective drugs for these enzymes remains challenging due to their high sequence and structural similarity. In the current study, we applied a computational approach to predict the selectivity profile of developed inhibitors. Molecular docking followed by MD simulation and calculation of binding free energy was performed for a dataset of 2-aminobenzamides comprising 30 previously developed inhibitors. For each HDAC isoform, a significant correlation was found between the binding free energy values and in vitro inhibitory activities. The predictive accuracy and reliability of the best preforming models were assessed on an external test set of newly designed and synthesized inhibitors. The developed binding free-energy models are cost-effective methods and help to reduce the time required to prioritize compounds for further studies. MDPI 2022-04-14 /pmc/articles/PMC9032825/ /pubmed/35458724 http://dx.doi.org/10.3390/molecules27082526 Text en © 2022 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 Bülbül, Emre F. Melesina, Jelena Ibrahim, Hany S. Abdelsalam, Mohamed Vecchio, Anita Robaa, Dina Zessin, Matthes Schutkowski, Mike Sippl, Wolfgang Docking, Binding Free Energy Calculations and In Vitro Characterization of Pyrazine Linked 2-Aminobenzamides as Novel Class I Histone Deacetylase (HDAC) Inhibitors |
title | Docking, Binding Free Energy Calculations and In Vitro Characterization of Pyrazine Linked 2-Aminobenzamides as Novel Class I Histone Deacetylase (HDAC) Inhibitors |
title_full | Docking, Binding Free Energy Calculations and In Vitro Characterization of Pyrazine Linked 2-Aminobenzamides as Novel Class I Histone Deacetylase (HDAC) Inhibitors |
title_fullStr | Docking, Binding Free Energy Calculations and In Vitro Characterization of Pyrazine Linked 2-Aminobenzamides as Novel Class I Histone Deacetylase (HDAC) Inhibitors |
title_full_unstemmed | Docking, Binding Free Energy Calculations and In Vitro Characterization of Pyrazine Linked 2-Aminobenzamides as Novel Class I Histone Deacetylase (HDAC) Inhibitors |
title_short | Docking, Binding Free Energy Calculations and In Vitro Characterization of Pyrazine Linked 2-Aminobenzamides as Novel Class I Histone Deacetylase (HDAC) Inhibitors |
title_sort | docking, binding free energy calculations and in vitro characterization of pyrazine linked 2-aminobenzamides as novel class i histone deacetylase (hdac) inhibitors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9032825/ https://www.ncbi.nlm.nih.gov/pubmed/35458724 http://dx.doi.org/10.3390/molecules27082526 |
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