Table 4 Comprehensive assessment of PUResNetV2.0 and GRaSP on benchmark datasets
Benchmark dataset | Methods | Precision (%) | Recall (%) | F1 score (%) | MCC (%) |
|---|---|---|---|---|---|
Coach100 | PUResNetV2.0 | 61.3 | 62.4 | 61.8 | 62.4 |
GRaSP | 63.5 | 43.9 | 51.9 | 50.1 | |
Holo801 | PUResNetV2.0 | 70.2 | 71.0 | 70.6 | 68.3 |
GRaSP | 66.9 | 50.1 | 57.3 | 55.1 | |
Apoholo45 | PUResNetV2.0 | 69.7 | 54.2 | 61.0 | 59.4 |
GRaSP | 61.7 | 32.0 | 42.1 | 42.0 | |
PDBBind1681 | PUResNetV2.0 | 78.68 | 35.90 | 47.10 | 46.70 |
GRaSP | 57.31 | 22.89 | 31.01 | 30.84 |