Fig. 3From: Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretrainingThis flowchart illustrates the first two steps of DTIOG, which are the generation of two vector embeddings for drugs (i.e., \(d^i\)), targets (i.e., \(t^j\)), drug–drug similarity (i.e., \(Mat-Sim-DD\)) and target–target similarity (i.e., \(Mat-Sim-TT\)) generated from KGE using Cosine similarity by computing the DistMult modelBack to article page