Category C (in Table ) -The feature representations from compound fingerprints along with physicochemical descriptors are combined with target properties and are subjected for use in machine learning model development. In the development of drug treatments, the drug targets which interact with the disease-associated are considered . However, the exact mechanism is not completely clear between drug-target and treatment . This is still an important point, so identifying the common targets between drug and disease is important for clinical trials and hence we consider the intersection of targets between drug and disease and arrive at the count common targets, linked to each trial. We examine the drug targets from DrugBank and CTD one after the other, check whether it is available in disease targets from CTD and take only the targets which belong to both drug and disease. The distinct count of drug targets from DrugBank and CTD is calculated and serves as an additional feature.