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ArcDFI: Attention regularization guided by CYP450 interactions for predicting drug-food interactions

Fig 2

Descriptive illustration of ArcDFI.

a) Model architecture for ArcDFI. The parameters in Compound Substructure Encoder, Compound Graph Encoder and Compound-CYP Interaction Block are shared by both drug and food compounds. b) Detailed illustration of the Compound-CYP interaction block. c) Detailed illustration of the Cross-Modality Fusion Layer. The drug (food) compound-CYP interaction embedding is combined with the food (drug) compound graph embedding using a vector-wise outer product, followed by concatenation of the two embeddings.

Fig 2

doi: https://doi.org/10.1371/journal.pcbi.1013055.g002