Fig. 4

Procedure of our proposed predicting method. Drug kernel matrix KFJD was calculated by combining drug similarity matrix SD, GIP kernel matrix for drugs KGD, and association index kernel matrix for drugs KJD, where KGD and KJD are constructed from drug-target interaction network Y (seen in step 1). target kernel matrix KFJT was calculated by combining target similarity matrix ST, GIP kernel matrix for targets KGT, and association index kernel matrix for targets KJT, where KGT and KJT are constructed from Y′ which is the transpose of Y (seen in step 2). Next, a heterogeneous network M was constructed by drug kernel matrix KFJD, target kernel matrix KFJT, and drug-target interaction network Y (seen in step 3). Finally, a marginalized denoising model (MDM) was created on the heterogeneous network M with local and global associations between nodes (targets and drugs) to predict latent drug-target interaction pairs (seen in step 4)