Figure 1.

Construction of drug pair vector and the classification model using Random Forest are shown. For example, two drugs, D1 and D2, are represented by n principal components, and the resulting M (basal chemical properties) and E (chemical property differences) vectors are used to represent the drug pairs. The classification model classifies the positive drug pairs that share a target (red) from the negative drug pairs that do not share a target (blue).