Prediction of drugs Anatomical Therapeutic Chemical (ATC) code by integrating drugdomain network
Predicting ATC code of drugs can provide valuable clues for drug repositioning. We discover important biological similarity features related to drugs and ATC codes. We propose a dD-Hybrid method to predict the unlabeled drug ATC-code pairs. Our method integrates drug-domain interaction network. Our hypothesis is domain is connected with a group of drugs sharing the same ATC code.
atc code drug classification drugdomain interaction svm cross-validation