From: A novel method for drug-target interaction prediction based on graph transformers model
Model | AUROC | AUPR |
---|---|---|
DTI-GTN | 0.9973 ± 0.0006 | 0.9976 ± 0.0006 |
DTI-Film | 0.8512 ± 0.0300 | 0.8925 ± 0.0182 |
DTI-GAT | 0.8802 ± 0.0087 | 0.9179 ± 0.0038 |
DTI-GCN | 0.8771 ± 0.0095 | 0.9267 ± 0.0310 |
DTI-EGC | 0.8679 ± 0.0184 | 0.9005 ± 0.0082 |
DTI-RGG | 0.8544 ± 0.0139 | 0.9004 ± 0.0120 |
DTI-Hypergraph | 0.8353 ± 0.0087 | 0.8839 ± 0.0167 |
NEDTP | 0.9355 ± 0.0049 | 0.9428 ± 0.0118 |
Moltrans | 0.8596 ± 0.0063 | 0.8608 ± 0.0079 |
DTI-CDF | 0.8689 ± 0.0112 | 0.9037 ± 0.0096 |
DTI-CNN | 0.9341 ± 0.0017 | 0.9417 ± 0.0136 |
DTI-RF | 0.8640 ± 0.0088 | 0.9035 ± 0.0081 |
DTI-KNN | 0.7727 ± 0.0204 | 0.8320 ± 0.0127 |