A Meta-Path based Drug-Target Prediction Model with Collaborative Attention Mechanisms
Bing Cheng Hu, Feng Xia, Ruolan Chen, Shuting Jin, Xiangrong Liu · 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 2021
The discovery and confirmation o f d rug-target interactions plays an important role for multiple pharmacology, drug discovery, drug repositioning, side effect prediction and drug resistance. In this paper, we propose a meta-path-based collaborative attention prediction model that effectively learns the explicit representation of drugs, targets, and meta-path contexts to predict the potential relationships between drug and target. Experimental results prove that the model has an excellent performance in predictability and interpretability.