کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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1396253 | 1501183 | 2010 | 7 صفحه PDF | دانلود رایگان |

Quantitative structure–activity relationship (QSAR) method was used to predict the pIC50 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 pIC50 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 Q2 = 0.8340 and SPRESS = 0.322 for MLR model and Q2 = 0.8055 and SPRESS = 0.219 for ANN model.
The quantitative structure–activity relationships approaches were used to predict the D2 receptor antagonistic activity of some 6-methoxy benzamides from their theoretical derived molecular descriptors by using artificial neural network.Figure optionsDownload as PowerPoint slide
Journal: European Journal of Medicinal Chemistry - Volume 45, Issue 11, November 2010, Pages 4856–4862