3D-QSAR model that correlates the biological activities with the chemical structures of quipazine derivatives acting on the serotonine transporter (SERT) was developed by comparative molecular field analysis (CoMFA). Total 8 models were constructed and a more accurate model, using close 1 $AA$ grid spacing and StDev*Coefficients weight value gave better results. The contour maps with the best model, the resulting cross-validated correlation ($q^2$ : 0.744), and non-cross-validated correlation ($r^2$ : 0.966) indicate the steric and electrostatic environment of inhibitors in the SERT binding pocket. This study can be used as a putative picture of the pharmacophore in the design of novel and potent inhibitors.