Table 1.
Statistics of the prediction performance
| Data | Methods | AUC | Sensitivity(%) | Specificity(%) |
|---|---|---|---|---|
| * Enzyme | Combining weighted profile | 92.2 | 6 | 99.9 |
| LapRLS | 95.0 | 53 | 99.9 | |
| NetLapRLS | 98.3 | 75 | 99.9 | |
| * Ion channel | Combining weighted profile | 90.7 | 17 | 99.7 |
| LapRLS | 96.1 | 36 | 99.8 | |
| NetLapRLS | 98.6 | 72 | 99.9 | |
| * GPCR | Combining weighted profile | 86.9 | 13 | 99.7 |
| LapRLS | 93.4 | 24 | 99.8 | |
| NetLapRLS | 97.1 | 50 | 99.8 | |
| Nuclear receptor | Combining weighted profile | 81.0 | 11 | 99.4 |
| LapRLS | 85.0 | 16 | 99.4 | |
| NetLapRLS | 88.8 | 21 | 99.5 |
The AUC is the area under the ROC curve, normalized to 100. The cutoff for sensitivity and specificity is set to select the number of the interactions in the test data.