QSAR prediction of D 2 receptor antagonistic activity of 6-methoxy benzamides

Abstract

Quantitative structure–activity relationship (QSAR) method was used to predict the pIC 50 value of 58 derivatives of 6-methoxy benzamides in this work. The artificial neural network (ANN) and multiple linear regressions (MLR) were used to construct the non-linear and linear QSAR models, respectively. The standard errors in the prediction of pIC 50 for training, internal and external test sets, are; 0.280, 0.446 and 0.382 by MLR model and are; 0.175, 0.326 and 0.296 by ANN model, respectively. Also these models were further examined by cross-validation methods which produce the statistics of Q 2 = 0.8340 and SPRESS = 0.322 for MLR model and Q 2 = 0.8055 and SPRESS = 0.219 for ANN model.