Figure 1: A neural network model was constructed with (2) hidden neuron, (1) output variable that is Clinical MRTD, and (6) input variables that is, OxidHL, P[BD], logBioHL, AlogP, ASol, MW. Total number of patterns (23) were loaded in the data of which 23 were complete and available for training. Two nonlinear neurons were used and the model error minimization was stable for 20 minutes.