首页> 外文期刊>European Journal of Medicinal Chemistry: Chimie Therapeutique >QSAR study of anthranilic acid sulfonamides as inhibitors of methionine aminopeptidase-2 using LS-SVM and GRNN based on principal components.
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QSAR study of anthranilic acid sulfonamides as inhibitors of methionine aminopeptidase-2 using LS-SVM and GRNN based on principal components.

机译:基于主要成分,使用LS-SVM和GRNN对邻氨基苯磺酸磺酰胺作为蛋氨酸氨基肽酶-2抑制剂的QSAR研究。

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摘要

Quantitative relationships between molecular structure and methionine aminopeptidase-2 inhibitory activity of a series of cytotoxic anthranilic acid sulfonamide derivatives were discovered. We have demonstrated the detailed application of two efficient nonlinear methods for evaluation of quantitative structure-activity relationships of the studied compounds. Components produced by principal component analysis as input of developed nonlinear models were used. The performance of the developed models namely PC-GRNN and PC-LS-SVM were tested by several validation methods. The resulted PC-LS-SVM model had a high statistical quality (R(2)=0.91 and R(CV)(2)=0.81) for predicting the cytotoxic activity of the compounds. Comparison between predictability of PC-GRNN and PC-LS-SVM indicates that later method has higher ability to predict the activity of the studied molecules.
机译:发现了一系列细胞毒性邻氨基苯磺酸磺酰胺衍生物的分子结构与蛋氨酸氨基肽酶-2抑制活性之间的定量关系。我们已经证明了两种有效的非线性方法在研究化合物定量构效关系评估中的详细应用。使用通过主成分分析产生的成分作为开发的非线性模型的输入。通过多种验证方法测试了开发模型PC-GRNN和PC-LS-SVM的性能。所得的PC-LS-SVM模型具有较高的统计质量(R(2)= 0.91和R(CV)(2)= 0.81),可预测化合物的细胞毒活性。 PC-GRNN和PC-LS-SVM的可预测性之间的比较表明,后一种方法具有更高的预测所研究分子活性的能力。

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