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首页> 外文期刊>European Journal of Medicinal Chemistry: Chimie Therapeutique >Multivariate SAR/QSAR of 3-aryl-4-hydroxyquinolin-2(1H)-one derivatives as type I fatty acid synthase (FAS) inhibitors.
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Multivariate SAR/QSAR of 3-aryl-4-hydroxyquinolin-2(1H)-one derivatives as type I fatty acid synthase (FAS) inhibitors.

机译:3-芳基-4-羟基喹啉-2(1H)-one衍生物作为I型脂肪酸合酶(FAS)抑制剂的多元SAR / QSAR。

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摘要

Two multivariate studies, a PCA-SAR and a PLS-QSAR, of 3-aryl-4-hydroxyquinolin-2(1H)-one derivatives described as type I fatty acid synthase (FAS) inhibitors, are presented in this work. The variable selection was performed with the Fisher's weight and Ordered Predictors Selection (OPS) algorithm, respectively. In the PCA, a separation between active and inactive compounds was obtained by six descriptors (topological and geometrical). The PLS model presented five descriptors and two Latent Variables. Leave-N-out cross validation and y-randomization test showed that the model presented robustness and no chance correlation, respectively, and the descriptors indicated that the FAS inhibition depends on electronic distribution of the investigated compounds. The model obtained in this study may provide a guidance for proposition of new FAS inhibitors.
机译:这项工作介绍了被描述为I型脂肪酸合酶(FAS)抑制剂的3-芳基-4-羟基喹啉2(1H)-一衍生物的PCA-SAR和PLS-QSAR两项多变量研究。分别使用Fisher权重和有序预测变量选择(OPS)算法执行变量选择。在PCA中,通过六个描述符(拓扑和几何)将活性和非活性化合物分离。 PLS模型提供了五个描述符和两个潜在变量。保留-N-交叉验证和y随机化测试表明,该模型分别具有鲁棒性和无机会相关性,并且描述符表明FAS抑制作用取决于所研究化合物的电子分布。在这项研究中获得的模型可能为新的FAS抑制剂的提出提供指导。

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