Improving the inhibitory activity of arylidenaminoguanidine compounds at the N-methyl-d-aspartate receptor complex from a recursive computational-experimental …

…, F Zheng, AJ Haubner, JM Littleton, PA Crooks

文献索引：Ring, Joshua R.; Zheng, Fang; Haubner, Aaron J.; Littleton, John M.; Crooks, Peter A. Bioorganic and Medicinal Chemistry, 2013 , vol. 21, # 7 p. 1764 - 1774

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被引用次数: 6

摘要

Using a combination of both the partial least squares (PLS) and back-propagation artificial neural network (ANN) pattern recognition methods, several models have been developed to predict the activity of a series of arylidenaminoguanidine analogs as inhibitory modulators of the N-methyl-d-aspartate receptor complex. This was done by correlating structural and physicochemical descriptors obtained from computation software with the experimentally ...