Development linear and non-linear QSAR models for predicting AXL kinase inhibitory activity of N-[4-(quinolin-4-yloxy)phenyl]benzenesulfonamides.In this research, we used CoMFA, LSSVM and FFANN for creating QSAR models for predicting AXL Kinase inhibitory activity of N-[4-(Quinolin-4-yloxy)phenyl]benzenesulfonamides.  A CoMFA model with three components was developed and CoMFA contour maps were interpreted to extract chemical features that influence the inhibitory activity of these molecules.  R2 for train and test set of CoMFA model were 0.8900 and 0.8171, respectively.  Model created by five Dragon descriptors and LSSVM model showed slightly better predictive power with respect to CoMFA model. 
CoMFA
Development linear and non-linear QSAR models for predicting AXL kinase inhibitory activity of N-[4-(quinolin-4-yloxy)phenyl]benzenesulfonamides.In this research, we used CoMFA, LSSVM and FFANN for creating QSAR models for predicting AXL Kinase inhibitory activity of N-[4-(Quinolin-4-yloxy)phenyl]benzenesulfonamides.  Model created by five Dragon descriptors and LSSVM model showed slightly better predictive power with respect to CoMFA model.  R2 for train, test set of created LSSVM model were 0.0.8477 and 0.8218, respectively. 
LSSVM
Development linear and non-linear QSAR models for predicting AXL kinase inhibitory activity of N-[4-(quinolin-4-yloxy)phenyl]benzenesulfonamides.In this research, we used CoMFA, LSSVM and FFANN for creating QSAR models for predicting AXL Kinase inhibitory activity of N-[4-(Quinolin-4-yloxy)phenyl]benzenesulfonamides.  Also, a FFANN model, using the same five descriptors, was developed with 2 neurons in its hidden layer and R2 for its train and test sets were 0.8314 and 0.8522, respectively. 
FFANN
Model created by five Dragon descriptors and LSSVM model showed slightly better predictive power with respect to CoMFA model. 
Dragon descriptors