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Quantitative structure-activity relationships of Benzodiazepines by recursive cascade correlation

机译:递归级联相关的苯二氮卓类化合物定量构效关系

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An application of recursive cascade correlation to the quantitative structure-activity relationships (QSAR) of a class of Beneodiazepines is presented. Recursive cascade correlation is a neural network model recently proposed for the processing of structured data. This allows the direct treatment of the chemical compounds as labeled ordered trees, which constitutes a novel approach to QSAR. Our approach compares favorably versus the traditional QSAR treatment based on equations.
机译:提出了递归级联相关在一类苯二氮卓类化合物的定量构效关系(QSAR)中的应用。递归级联相关是最近提出的用于处理结构化数据的神经网络模型。这允许将化学化合物直接处理为标记的有序树,这构成了QSAR的新方法。与基于等式的传统QSAR处理相比,我们的方法具有优势。

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