In the present study, 3D-QSAR analysis was performed on a set of 37 TGF-β inhibitors utilizing pharmacophore
based alignment to uncover the essential structural and steric features of these newly discovered b-annulated 1,4-
dihydropyridine (1,4-DHP) molecules to get better antagonism of the TGF-β receptor. The best 3D-QSAR model identified
with PLS factor 4 that had the highest values of external predictability parameters exhibited Q2 (0.8972), and R2
(0.9826) and displayed high values of F (281.9) and low SD (0.0785). This selected model was validated statistically by
determining Pearson-r (0.9718) for test set molecules. Contours thus obtained from different properties generated using
our QSAR model explained the variation in the activity of dataset with respect to different attachments in the core structure.
This would help to make suitable structural modifications in 1, 4-DHP molecules so as to make a better complementary
fit to the active site of TGF-β receptor, which in turn would improve the potency of newly designed molecules.