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Computational Analysis of Residue-Specific Binding Free Energies of Androgen Receptor to Ligands
Androgen receptor (AR) is an important therapeutic target for the treatment of diseases such as prostate cancer, hypogonadism, muscle wasting, etc. In this study, the complex structures of the AR ligand-binding domain (LBD) with fifteen ligands were analyzed by molecular dynamics simulations combine...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994597/ https://www.ncbi.nlm.nih.gov/pubmed/33778009 http://dx.doi.org/10.3389/fmolb.2021.646524 |
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author | Shao, Guangfeng Bao, Jingxiao Pan, Xiaolin He, Xiao Qi, Yifei Zhang, John Z. H. |
author_facet | Shao, Guangfeng Bao, Jingxiao Pan, Xiaolin He, Xiao Qi, Yifei Zhang, John Z. H. |
author_sort | Shao, Guangfeng |
collection | PubMed |
description | Androgen receptor (AR) is an important therapeutic target for the treatment of diseases such as prostate cancer, hypogonadism, muscle wasting, etc. In this study, the complex structures of the AR ligand-binding domain (LBD) with fifteen ligands were analyzed by molecular dynamics simulations combined with the alanine-scanning-interaction-entropy method (ASIE). The quantitative free energy contributions of the pocket residues were obtained and hotspot residues are quantitatively identified. Our calculation shows that that these hotspot residues are predominantly hydrophobic and their interactions with binding ligands are mainly van der Waals interactions. The total binding free energies obtained by summing over binding contributions by individual residues are in good correlation with the experimental binding data. The current quantitative analysis of binding mechanism of AR to ligands provides important insight on the design of future inhibitors. |
format | Online Article Text |
id | pubmed-7994597 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79945972021-03-27 Computational Analysis of Residue-Specific Binding Free Energies of Androgen Receptor to Ligands Shao, Guangfeng Bao, Jingxiao Pan, Xiaolin He, Xiao Qi, Yifei Zhang, John Z. H. Front Mol Biosci Molecular Biosciences Androgen receptor (AR) is an important therapeutic target for the treatment of diseases such as prostate cancer, hypogonadism, muscle wasting, etc. In this study, the complex structures of the AR ligand-binding domain (LBD) with fifteen ligands were analyzed by molecular dynamics simulations combined with the alanine-scanning-interaction-entropy method (ASIE). The quantitative free energy contributions of the pocket residues were obtained and hotspot residues are quantitatively identified. Our calculation shows that that these hotspot residues are predominantly hydrophobic and their interactions with binding ligands are mainly van der Waals interactions. The total binding free energies obtained by summing over binding contributions by individual residues are in good correlation with the experimental binding data. The current quantitative analysis of binding mechanism of AR to ligands provides important insight on the design of future inhibitors. Frontiers Media S.A. 2021-03-12 /pmc/articles/PMC7994597/ /pubmed/33778009 http://dx.doi.org/10.3389/fmolb.2021.646524 Text en Copyright © 2021 Shao, Bao, Pan, He, Qi and Zhang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Molecular Biosciences Shao, Guangfeng Bao, Jingxiao Pan, Xiaolin He, Xiao Qi, Yifei Zhang, John Z. H. Computational Analysis of Residue-Specific Binding Free Energies of Androgen Receptor to Ligands |
title | Computational Analysis of Residue-Specific Binding Free Energies of Androgen Receptor to Ligands |
title_full | Computational Analysis of Residue-Specific Binding Free Energies of Androgen Receptor to Ligands |
title_fullStr | Computational Analysis of Residue-Specific Binding Free Energies of Androgen Receptor to Ligands |
title_full_unstemmed | Computational Analysis of Residue-Specific Binding Free Energies of Androgen Receptor to Ligands |
title_short | Computational Analysis of Residue-Specific Binding Free Energies of Androgen Receptor to Ligands |
title_sort | computational analysis of residue-specific binding free energies of androgen receptor to ligands |
topic | Molecular Biosciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994597/ https://www.ncbi.nlm.nih.gov/pubmed/33778009 http://dx.doi.org/10.3389/fmolb.2021.646524 |
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