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基于药效团模型和原子的 N-甲基嘧啶酮类 HIV-1 整合酶抑制剂的 3D-QSAR 研究。

Pharmacophore modelling and atom-based 3D-QSAR studies on N-methyl pyrimidones as HIV-1 integrase inhibitors.

机构信息

Department of Bioinformatics, Alagappa University, Karaikudi, Tamil Nadu, India.

出版信息

J Enzyme Inhib Med Chem. 2012 Jun;27(3):339-47. doi: 10.3109/14756366.2011.590803. Epub 2011 Jun 24.

Abstract

Pharmacophore modelling and atom-based 3D-QSAR studies were carried out for a series of compounds belonging to N-methyl pyrimidones as HIV-1 integrase inhibitors. Based on the ligand-based pharmacophore model, we got 5-point pharmacophore model AADDR, with two hydrogen bond acceptors (A), two hydrogen bond donors (D) and one aromatic ring (R). The generated pharmacophore-based alignment was used to derive a predictive atom-based 3D-QSAR model for the training set (r(2) = 0.92, SD = 0.16, F = 84.8, N = 40) and for test set (Q(2) = 0.71, RMSE = 0.06, Pearson R = 0.90, N = 10). From these results, AADDR pharmacophore feature was selected as best common pharmacophore hypothesis, and atom-based 3D-QSAR results also support the outcome by means of favourable and unfavourable regions of hydrophobic and electron-withdrawing groups for the most potent compound 30. These results can be useful for further design of new and potent HIV-1 IN inhibitors.

摘要

对一系列属于 N-甲基嘧啶酮类的化合物进行了基于配体的药效团模型和基于原子的 3D-QSAR 研究,作为 HIV-1 整合酶抑制剂。基于配体的药效团模型,我们得到了 5 个点的药效团模型 AADDR,其中包含两个氢键受体 (A)、两个氢键供体 (D) 和一个芳环 (R)。生成的基于药效团的排列用于为训练集 (r(2)=0.92, SD=0.16, F=84.8, N=40) 和测试集 (Q(2)=0.71, RMSE=0.06, Pearson R=0.90, N=10) 推导出一个预测性的基于原子的 3D-QSAR 模型。从这些结果中,选择 AADDR 药效团特征作为最佳共有药效团假设,并且基于原子的 3D-QSAR 结果也通过有利和不利的疏水区和吸电子基团区域支持最有效化合物 30 的结果。这些结果可用于进一步设计新型有效的 HIV-1 IN 抑制剂。

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