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Analysis of B-Raf inhibitors using 2D and 3D-QSAR, molecular docking and pharmacophore studies

机译:使用2D和3D-QSAR分析B-Raf抑制剂,分子对接和药效团研究

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摘要

In the present work, a molecular modeling study was carried out using 2D and 3D quantitative structure-activity relationships for the various series of compounds known as B-Raf inhibitors. For 2D-QSAR analysis, a linear model was developed by MLR based on GA-OLS with appropriate results , which was validated by several external validation techniques. To perform a 3D-QSAR analysis, CoMFA and CoMSIA methods were used. The selected CoMFA model could provide reliable statistical values based on the training set in the biases of the selected alignment. Using the same selected alignment, a statistically reliable CoMSIA model, out of thirty-one different combinations, was also obtained . The predictive accuracy of the derived models was rigorously evaluated with the external test set of nineteen compounds based on several validation techniques. Molecular docking simulations and pharmacophore analyses were also performed to derive the true conformations of the most potent inhibitors with B-Raf kinase.
机译:在目前的工作中,使用2D和3D定量结构-活性关系对称为B-Raf抑制剂的各种系列化合物进行了分子建模研究。对于2D-QSAR分析,MLR基于GA-OLS开发了线性模型,并获得了适当的结果,并通过多种外部验证技术对其进行了验证。为了执行3D-QSAR分析,使用了CoMFA和CoMSIA方法。所选的CoMFA模型可以基于所选对齐方式的偏倚中的训练集提供可靠的统计值。使用相同的选择比对,还从31种不同组合中获得了统计可靠的CoMSIA模型。基于几种验证技术,使用19种化合物的外部测试集严格评估了衍生模型的预测准确性。还进行了分子对接模拟和药效基团分析,以得出具有B-Raf激酶的最有效抑制剂的真实构象。

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