文摘
To address the dependence of GRIND-based 3D-QSAR on data set flexibility, we investigate a series ofoxidosqualene cyclase (OSC) inhibitors. The results indicate that statistical models are determinedindependently of the data set but that despite identification of the same outliers and the acceptable test setprediction, not all models show good predictive correlation coefficient (q2). Moreover, the best model wasobtained using a data set of the lowest energy conformers generated by a conformational analysis.