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In silico studies of piperazine derivatives as potent anti-proliferative agents against PC-3 prostate cancer cell lines.


ABSTRACT: 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; R2 = 0.8483, R2 adj = 0.8078, Q2 cv = 0.7122 and external validation (R2 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.

SUBMITTER: Ikwu FA 

PROVIDER: S-EPMC6992985 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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In silico studies of piperazine derivatives as potent anti-proliferative agents against PC-3 prostate cancer cell lines.

Ikwu Fabian A FA   Shallangwa Gideon A GA   Mamza Paul A PA   Uzairu Adamu A  

Heliyon 20200123 1


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<sup>2</sup> = 0.8483, R<sup>2</sup> <sub>adj</sub> = 0.8078, Q<sup>2</sup> <sub>cv</sub> = 0.7122 and external validation (R<sup>2</sup> <sub>test</sub>) 0.6682 revealed that the anti-proliferate activities were strongly dependent on the descriptors: MATS7c, MATS3e  ...[more]

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