Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks

Jaechang Lim, Seongok Ryu, Kyubyong Park +3

Accurate prediction of drug-target interaction (DTI) is essential for in silico drug design. For the purpose, we propose a novel approach for predicting DTI using a GNN that direct…