Introduction: Acetylcholinesterase enzyme (AChE) is the main target in Alzheimer's disease
therapy and designing of novel AChE inhibitors is a great deal of attention.
Methods: In this study, 2D-QSAR and 3D-QSAR models were generated using stepwise multiple linear
regressions (SW-MLR) and comparative molecular field analysis (CoMFA) respectively.
Results: It was found that CoMFA model with r2 of 0.947 for the training set and r2 of 0.816 for the
test set is more favorable than model which is established by SW-MLR method with r2 =0.825 and
r2pred =0.778 in 2D-QSAR.
Conclusion: In addition, obtaining models were validated by cross validation with cut off values of
q2 > 0.5 and r2pred > 0.6.