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Identification of potent virtual leads to design novel PLK1 inhibitors: Pharmacophore modelling, virtual screening and molecular docking studies

机译:鉴定有效的虚拟线索以设计新型PLK1抑制剂:药效学建模,虚拟筛选和分子对接研究

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摘要

The aim of this study was to identify novel scaffolds and utilise them in designing potent PLK1 inhibitors. Three-dimensional pharmacophore models on the basis of chemical features were developed for PLK1 on the basis of the known inhibitors. The best pharmacophore model, Hypo 1, which has the highest correlation (0.96), the highest cost difference (75.7494), the lowest total cost and RMSD (75.7494, 0.5458), contains two hydrophobics, one ring aromatic and one hydrogen donor. Hypo 1 was validated by the test set, decoy set and the Fischer's randomisation method. Then it was used for chemical database virtual screening. The hit compounds were filtered by Lipinski's rule of five and absorption, distribution, metabolism, elimination and toxicity properties. Finally, 24 compounds with good estimated activity values were used for docking studies. These results will be used to develop new inhibitors of PLK1 as leads.
机译:这项研究的目的是鉴定新型支架并将其用于设计有效的PLK1抑制剂。在已知抑制剂的基础上,针对PLK1建立了基于化学特征的三维药效团模型。最佳的药效团模型Hypo 1具有最高的相关性(0.96),最高的成本差异(75.7494),最低的总成本和RMSD(75.7494,0.5458),其中包含两种疏水性,一个环芳族和一个氢供体。 Hypo 1已通过测试集,诱饵集和Fischer随机方法验证。然后将其用于化学数据库虚拟筛选。命中的化合物通过Lipinski的五个规则以及吸收,分布,代谢,消除和毒性特性进行过滤。最后,将具有良好估计活性值的24种化合物用于对接研究。这些结果将用于开发新型的PLK1抑制剂作为先导。

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