Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
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
_version_ 1784768780604276736
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
work_keys_str_mv AT olubodesamuelo molecularmodelingstudiesofnaturalinhibitorsofandrogensignalinginprostatecancer
AT bankolemutolibo molecularmodelingstudiesofnaturalinhibitorsofandrogensignalinginprostatecancer
AT akinnusipreciousa molecularmodelingstudiesofnaturalinhibitorsofandrogensignalinginprostatecancer
AT adanlawoolayinkas molecularmodelingstudiesofnaturalinhibitorsofandrogensignalinginprostatecancer
AT ojubolakehindei molecularmodelingstudiesofnaturalinhibitorsofandrogensignalinginprostatecancer
AT nwankwodanielo molecularmodelingstudiesofnaturalinhibitorsofandrogensignalinginprostatecancer
AT edjebahonomee molecularmodelingstudiesofnaturalinhibitorsofandrogensignalinginprostatecancer
AT adebesinayomideo molecularmodelingstudiesofnaturalinhibitorsofandrogensignalinginprostatecancer
AT ayodeleabigailo molecularmodelingstudiesofnaturalinhibitorsofandrogensignalinginprostatecancer