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In silico studies of piperazine derivatives as potent anti-proliferative agents against PC-3 prostate cancer cell lines
Quantitative Structure Activity Relationship studies were carried out on arylpiperazine derivatives to investigate their anti-proliferate activity against prostate PC-3 cancer cell lines. The built model with statistical parameters; R(2) = 0.8483, R(2)(adj) = 0.8078, Q(2)(cv) = 0.7122 and external v...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6992985/ https://www.ncbi.nlm.nih.gov/pubmed/32021936 http://dx.doi.org/10.1016/j.heliyon.2020.e03273 |
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author | Ikwu, Fabian A. Shallangwa, Gideon A. Mamza, Paul A. Uzairu, Adamu |
author_facet | Ikwu, Fabian A. Shallangwa, Gideon A. Mamza, Paul A. Uzairu, Adamu |
author_sort | Ikwu, Fabian A. |
collection | PubMed |
description | Quantitative Structure Activity Relationship studies were carried out on arylpiperazine derivatives to investigate their anti-proliferate activity against prostate PC-3 cancer cell lines. The built model with statistical parameters; R(2) = 0.8483, R(2)(adj) = 0.8078, Q(2)(cv) = 0.7122 and external validation (R(2)(test)) 0.6682 revealed that the anti-proliferate activities were strongly dependent on the descriptors: MATS7c, MATS3e, maxwHBa and WPSA-3. The Variance Inflation Factor of the descriptors were all greater than one but less than two and all descriptors were poorly correlated (r < 0.4). A graph of the experimental activities and predicted activities showed a high correlation and a William's plot showed the presence of only one outlier compound. These results are similar to those reported for stable and robust models with high predicting power. Molecular docking studies of compounds 5 (1-phenyl-4-(4-(2-(p-tolyloxy)ethyl)benzyl)piperazine) and 17 (4-(4-((4-phenylpiperazin-1-yl)methyl)phenethoxy)benzonitrile) with the androgen receptor gave binding affinities of −7.5 and −7.1 kcal/mol respectively. Compound 5 formed a more stable complex having hydrogen, electrostatic and hydrophobic bond interactions while compound 17 had hydrogen and hydrophobic bond interactions only. This study provides a roadmap to the design of more potent anti-prostate cancer compounds. |
format | Online Article Text |
id | pubmed-6992985 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-69929852020-02-04 In silico studies of piperazine derivatives as potent anti-proliferative agents against PC-3 prostate cancer cell lines Ikwu, Fabian A. Shallangwa, Gideon A. Mamza, Paul A. Uzairu, Adamu Heliyon Article Quantitative Structure Activity Relationship studies were carried out on arylpiperazine derivatives to investigate their anti-proliferate activity against prostate PC-3 cancer cell lines. The built model with statistical parameters; R(2) = 0.8483, R(2)(adj) = 0.8078, Q(2)(cv) = 0.7122 and external validation (R(2)(test)) 0.6682 revealed that the anti-proliferate activities were strongly dependent on the descriptors: MATS7c, MATS3e, maxwHBa and WPSA-3. The Variance Inflation Factor of the descriptors were all greater than one but less than two and all descriptors were poorly correlated (r < 0.4). A graph of the experimental activities and predicted activities showed a high correlation and a William's plot showed the presence of only one outlier compound. These results are similar to those reported for stable and robust models with high predicting power. Molecular docking studies of compounds 5 (1-phenyl-4-(4-(2-(p-tolyloxy)ethyl)benzyl)piperazine) and 17 (4-(4-((4-phenylpiperazin-1-yl)methyl)phenethoxy)benzonitrile) with the androgen receptor gave binding affinities of −7.5 and −7.1 kcal/mol respectively. Compound 5 formed a more stable complex having hydrogen, electrostatic and hydrophobic bond interactions while compound 17 had hydrogen and hydrophobic bond interactions only. This study provides a roadmap to the design of more potent anti-prostate cancer compounds. Elsevier 2020-01-23 /pmc/articles/PMC6992985/ /pubmed/32021936 http://dx.doi.org/10.1016/j.heliyon.2020.e03273 Text en © 2020 Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Ikwu, Fabian A. Shallangwa, Gideon A. Mamza, Paul A. Uzairu, Adamu In silico studies of piperazine derivatives as potent anti-proliferative agents against PC-3 prostate cancer cell lines |
title | In silico studies of piperazine derivatives as potent anti-proliferative agents against PC-3 prostate cancer cell lines |
title_full | In silico studies of piperazine derivatives as potent anti-proliferative agents against PC-3 prostate cancer cell lines |
title_fullStr | In silico studies of piperazine derivatives as potent anti-proliferative agents against PC-3 prostate cancer cell lines |
title_full_unstemmed | In silico studies of piperazine derivatives as potent anti-proliferative agents against PC-3 prostate cancer cell lines |
title_short | In silico studies of piperazine derivatives as potent anti-proliferative agents against PC-3 prostate cancer cell lines |
title_sort | in silico studies of piperazine derivatives as potent anti-proliferative agents against pc-3 prostate cancer cell lines |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6992985/ https://www.ncbi.nlm.nih.gov/pubmed/32021936 http://dx.doi.org/10.1016/j.heliyon.2020.e03273 |
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