Skip to main content
Fig. 1 | BMC Bioinformatics

Fig. 1

From: A multiple kernel learning algorithm for drug-target interaction prediction

Fig. 1

Overview of the proposed method. a The drug-target is a bipartite graph with drugs (left) and proteins (right). Edges between drugs and proteins (solid line) indicates a known drug-protein interaction. The drug-protein interaction problem is defined as finding unknown edges (dashed lines) with the assumption that similar drugs (or proteins) should share the same edges. b KronRLS-MKL uses several drugs (and protein) kernels to solve the drug-target interaction problem. Distinct Kernels are obtained by measuring similarities of drugs (or proteins) using distinct information sources. c KronRLS-MKL provides not only novel predicted interactions as it indicates the relevance (weights) of each kernel used in the predictions

Back to article page