Prediction of drug half-life values of antihistamines based on the CODES/neural network model

The CODES/neural network model has been successfully applied to the predict ion of pharmacokinetic properties of therapeutical compounds. The output of CODES, a graphical module based on the Gestalt isomorphism, is proved to b e a valuable tool in the design of a neural network model able to predict t he half-life values of antihistamines. Additionally, the generated models a re able to classify these drugs in their corresponding therapeutic category (H-1 or H-2 receptor antagonists).