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首页> 外文期刊>Journal of pharmaceutical sciences. >Three-Dimensional Quantitative Structure-Activity Relationship Analysis for Human Pregnane X Receptor for the Prediction of CYP3A4 Induction in Human Hepatocytes: Structure-Based Comparative Molecular Field Analysis
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Three-Dimensional Quantitative Structure-Activity Relationship Analysis for Human Pregnane X Receptor for the Prediction of CYP3A4 Induction in Human Hepatocytes: Structure-Based Comparative Molecular Field Analysis

机译:人类孕烷X受体的三维定量构效关系分析,用于预测人类肝细胞中CYP3A4的诱导:基于结构的比较分子场分析

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The pregnane X receptor [PXR (NR1I2)] induces the expression of xenobiotic metabolic genes and transporter genes. In this study, we aimed to establish a computational method for quantifying the enzyme-inducing potencies of different compounds via their ability to activate PXR, for the application in drug discovery and development. To achieve this purpose, we developed a three-dimensional quantitative structure-activity relationship (3D-QSAR) model using comparative molecular field analysis (CoMFA) for predicting enzyme-inducing potencies, based on computer-ligand docking to multiple PXR protein structures sampled from the trajectory of a molecular dynamics simulation. Molecular mechanics-generalized born/surface area scores representing the ligand-protein-binding free energies were calculated for each ligand. As a result, the predicted enzyme-inducing potencies for compounds generated by the CoMFA model were in good agreement with the experimental values. Finally, we concluded that this 3D-QSAR model has the potential to predict the enzyme-inducing potencies of novel compounds with high precision and therefore has valuable applications in the early stages of the drug discovery process. (c) 2014 Wiley Periodicals, Inc. and the American Pharmacists Association J Pharm Sci 104:223-232, 2015
机译:孕烷X受体[PXR(NR1I2)]诱导异种代谢基因和转运蛋白基因的表达。在这项研究中,我们旨在建立一种计算方法,以通过其激活PXR的能力来量化不同化合物的酶诱导潜能,以用于药物发现和开发。为实现此目的,我们基于计算机配体对接至从中取样的多个PXR蛋白质结构的计算机配体,使用比较分子场分析(CoMFA)开发了三维定量结构-活性关系(3D-QSAR)模型,用于预测酶诱导能力。分子动力学模拟的轨迹。对于每个配体,计算代表配体-蛋白质结合自由能的分子力学概括的生/表面积分数。结果,由CoMFA模型产生的化合物的预测的酶诱导效力与实验值非常吻合。最后,我们得出的结论是,这种3D-QSAR模型具有以高精度预测新型化合物的酶诱导潜能的潜力,因此在药物发现过程的早期阶段具有有价值的应用。 (c)2014年,Wiley Periodicals,Inc.和美国药剂师协会J Pharm Sci 104:223-232,2015年

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