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Molecular Modeling Studies of Natural Inhibitors of Androgen Signaling in Prostate Cancer
Prostate cancer is the second most common disease in men and the sixth leading cause of death from cancer globally, with 20 million men expected to be affected by 2024 thus considered as chronic illness which requires immediate attention. As an androgen-dependent illness that relies on the androgen...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9379963/ https://www.ncbi.nlm.nih.gov/pubmed/35983016 http://dx.doi.org/10.1177/11769351221118556 |
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author | Olubode, Samuel O Bankole, Mutolib O Akinnusi, Precious A Adanlawo, Olayinka S Ojubola, Kehinde I Nwankwo, Daniel O Edjebah, Onome E Adebesin, Ayomide O Ayodele, Abigail O |
author_facet | Olubode, Samuel O Bankole, Mutolib O Akinnusi, Precious A Adanlawo, Olayinka S Ojubola, Kehinde I Nwankwo, Daniel O Edjebah, Onome E Adebesin, Ayomide O Ayodele, Abigail O |
author_sort | Olubode, Samuel O |
collection | PubMed |
description | Prostate cancer is the second most common disease in men and the sixth leading cause of death from cancer globally, with 20 million men expected to be affected by 2024 thus considered as chronic illness which requires immediate attention. As an androgen-dependent illness that relies on the androgen receptor for development and progression, inhibition of the androgen receptor can lead to a therapeutic solution, hence serving as a vital therapeutic target. This study focused on the computational analysis of the inhibitory potentials of Vitis vinifera, a reported plant with anti-cancer properties, against androgen receptor employing molecular docking, ADMET studies, Binding energy study, pharmacophore modeling, and molecular dynamics simulation approaches. After the investigation, it was determined that 5 compounds: cis-piceid, cis-astrigin, gallocatechin, phlorizin, and trans-polydatin, might be possible androgen receptor inhibitors since they had higher docking scores and ADMET qualities than compared standards, with cis-piceid being the best-predicted inhibitor. |
format | Online Article Text |
id | pubmed-9379963 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-93799632022-08-17 Molecular Modeling Studies of Natural Inhibitors of Androgen Signaling in Prostate Cancer Olubode, Samuel O Bankole, Mutolib O Akinnusi, Precious A Adanlawo, Olayinka S Ojubola, Kehinde I Nwankwo, Daniel O Edjebah, Onome E Adebesin, Ayomide O Ayodele, Abigail O Cancer Inform Original Research Prostate cancer is the second most common disease in men and the sixth leading cause of death from cancer globally, with 20 million men expected to be affected by 2024 thus considered as chronic illness which requires immediate attention. As an androgen-dependent illness that relies on the androgen receptor for development and progression, inhibition of the androgen receptor can lead to a therapeutic solution, hence serving as a vital therapeutic target. This study focused on the computational analysis of the inhibitory potentials of Vitis vinifera, a reported plant with anti-cancer properties, against androgen receptor employing molecular docking, ADMET studies, Binding energy study, pharmacophore modeling, and molecular dynamics simulation approaches. After the investigation, it was determined that 5 compounds: cis-piceid, cis-astrigin, gallocatechin, phlorizin, and trans-polydatin, might be possible androgen receptor inhibitors since they had higher docking scores and ADMET qualities than compared standards, with cis-piceid being the best-predicted inhibitor. SAGE Publications 2022-08-13 /pmc/articles/PMC9379963/ /pubmed/35983016 http://dx.doi.org/10.1177/11769351221118556 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Olubode, Samuel O Bankole, Mutolib O Akinnusi, Precious A Adanlawo, Olayinka S Ojubola, Kehinde I Nwankwo, Daniel O Edjebah, Onome E Adebesin, Ayomide O Ayodele, Abigail O Molecular Modeling Studies of Natural Inhibitors of Androgen Signaling in Prostate Cancer |
title | Molecular Modeling Studies of Natural Inhibitors of Androgen
Signaling in Prostate Cancer |
title_full | Molecular Modeling Studies of Natural Inhibitors of Androgen
Signaling in Prostate Cancer |
title_fullStr | Molecular Modeling Studies of Natural Inhibitors of Androgen
Signaling in Prostate Cancer |
title_full_unstemmed | Molecular Modeling Studies of Natural Inhibitors of Androgen
Signaling in Prostate Cancer |
title_short | Molecular Modeling Studies of Natural Inhibitors of Androgen
Signaling in Prostate Cancer |
title_sort | molecular modeling studies of natural inhibitors of androgen
signaling in prostate cancer |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9379963/ https://www.ncbi.nlm.nih.gov/pubmed/35983016 http://dx.doi.org/10.1177/11769351221118556 |
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