The performances of PANDA-3D and DeepGO-SE for Fmax, Smin and AUPR. The highest Fmax, the smallest Smin, and the highest AUPR are in bold and italics. The benchmark was performed on the testing dataset labeled as ‘DeepGO-SE’ in Table 1 with the maximum sequence identity cutoff of 0.95
| . | Fmax . | Smin . | AUPR . | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Method . | MFO . | BPO . | CCO . | MFO . | BPO . | CCO . | MFO . | BPO . | CCO . |
| DeepGO-SE | 0.491 | 0.413 | 0.641 | 7.665 | 30.897 | 9.925 | 0.447 | 0.368 | 0.554 |
| PANDA-3D | 0.486 | 0.45 | 0.692 | 7.526 | 29.306 | 8.837 | 0.47 | 0.409 | 0.74 |
| . | Fmax . | Smin . | AUPR . | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Method . | MFO . | BPO . | CCO . | MFO . | BPO . | CCO . | MFO . | BPO . | CCO . |
| DeepGO-SE | 0.491 | 0.413 | 0.641 | 7.665 | 30.897 | 9.925 | 0.447 | 0.368 | 0.554 |
| PANDA-3D | 0.486 | 0.45 | 0.692 | 7.526 | 29.306 | 8.837 | 0.47 | 0.409 | 0.74 |
The performances of PANDA-3D and DeepGO-SE for Fmax, Smin and AUPR. The highest Fmax, the smallest Smin, and the highest AUPR are in bold and italics. The benchmark was performed on the testing dataset labeled as ‘DeepGO-SE’ in Table 1 with the maximum sequence identity cutoff of 0.95
| . | Fmax . | Smin . | AUPR . | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Method . | MFO . | BPO . | CCO . | MFO . | BPO . | CCO . | MFO . | BPO . | CCO . |
| DeepGO-SE | 0.491 | 0.413 | 0.641 | 7.665 | 30.897 | 9.925 | 0.447 | 0.368 | 0.554 |
| PANDA-3D | 0.486 | 0.45 | 0.692 | 7.526 | 29.306 | 8.837 | 0.47 | 0.409 | 0.74 |
| . | Fmax . | Smin . | AUPR . | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Method . | MFO . | BPO . | CCO . | MFO . | BPO . | CCO . | MFO . | BPO . | CCO . |
| DeepGO-SE | 0.491 | 0.413 | 0.641 | 7.665 | 30.897 | 9.925 | 0.447 | 0.368 | 0.554 |
| PANDA-3D | 0.486 | 0.45 | 0.692 | 7.526 | 29.306 | 8.837 | 0.47 | 0.409 | 0.74 |
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