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首页> 外文期刊>European Journal of Medicinal Chemistry: Chimie Therapeutique >Docking-based 3D-QSAR study of HIV-1 integrase inhibitors.
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Docking-based 3D-QSAR study of HIV-1 integrase inhibitors.

机译:基于对接的HIV-1整合酶抑制剂的3D-QSAR研究。

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In this study, 3-aroyl-1,1-dioxo-1,4,2-benzodithiazine and 4-chloro-N-(4-oxopyrimidin-2-yl)-2-mercaptobenzenesulfonamide derivatives (HIV-1 integrase inhibitors) were used for CoMFA and CoMSIA to determine the substructures required for the activity of these molecules. To explore the binding mode of inhibitors, docking studies were done and docked conformation of highly active molecule was used as template for alignment. The best CoMFA model yielded the cross validation r(2)(cv)=0.728, non-cross validation r(2)(ncv)=0.934 and predictive r(2)(pred)=0.708. The best CoMSIA model yielded a cross validation r(2)(cv)=0.794, non-cross validation r(2)(ncv)=0.928 and predictive r(2)(pred)=0.59. It was found that steric (CoMFA) and hydrophobic fields (CoMSIA) have large contribution towards the inhibitory activity than the other fields. Docking and 3D-QSAR studies have provided clues to a better understanding of interaction between the inhibitors and HIV-1 integrase.
机译:在这项研究中,3-aroyl-1,1-dioxo-1,4,2-苯并二噻嗪和4-氯-N-(4-氧嘧啶-2--2-基)-2-巯基苯磺酰胺衍生物(HIV-1整合酶抑制剂)是用于CoMFA和CoMSIA,以确定这些分子的活性所需的亚结构。为了探索抑制剂的结合方式,进行了对接研究,将高活性分子的对接构象用作比对的模板。最佳CoMFA模型得出交叉验证r(2)(cv)= 0.728,非交叉验证r(2)(ncv)= 0.934和预测性r(2)(pred)= 0.708。最好的CoMSIA模型产生交叉验证r(2)(cv)= 0.794,非交叉验证r(2)(ncv)= 0.928和预测性r(2)(pred)= 0.59。发现空间位(CoMFA)和疏水位(CoMSIA)对抑制活性的贡献比其他场大。对接和3D-QSAR研究为更好地了解抑制剂与HIV-1整合酶之间的相互作用提供了线索。

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