Table 6.
Performance comparison of several prediction tools based on the UniProt_set.
| Kinase | Method | Accuracy | Sensitivity | Specificity | Precision | F-Score | MCC | AUC |
|---|---|---|---|---|---|---|---|---|
| CDKs | KinasePhos | 97.3 | 26.5 | 98.6 | 26.3 | 26.4 | 0.250 | 0.626 |
| GPS | 95.6 | 57.8 | 96.3 | 22.7 | 32.6 | 0.344 | 0.771 | |
| Musite | 93.2 | 73.4 | 93.6 | 18.1 | 29.0 | 0.342 | 0.841 | |
| PhosphoPredict | 93.4 | 66.7 | 93.9 | 17.2 | 27.3 | 0.316 | 0.857 | |
| CK2 | KinasePhos | 96.2 | 22.5 | 98.2 | 25.3 | 23.8 | 0.219 | 0.604 |
| GPS | 91.9 | 59.6 | 92.7 | 18.1 | 27.7 | 0.298 | 0.772 | |
| Musite | 92.6 | 4.8 | 95.0 | 2.5 | 3.3 | -0.002 | 0.499 | |
| PhosphoPredict | 92.5 | 33.9 | 94.1 | 13.5 | 19.3 | 0.181 | 0.712 | |
| MAPKs | KinasePhos | 95.0 | 40.6 | 96.3 | 20.7 | 27.4 | 0.267 | 0.687 |
| GPS | 94.7 | 51.9 | 95.7 | 21.7 | 30.6 | 0.313 | 0.741 | |
| Musite | 92.7 | 67.2 | 93.3 | 19.6 | 30.4 | 0.337 | 0.816 | |
| PhosphoPredict | 91.0 | 65.1 | 91.6 | 15.1 | 24.5 | 0.284 | 0.810 | |
| PKA | KinasePhos | 97.2 | 37.7 | 98.3 | 28.4 | 32.4 | 0.313 | 0.682 |
| GPS | 96.8 | 55.7 | 97.5 | 28.0 | 37.3 | 0.381 | 0.770 | |
| Musite | 94.3 | 65.1 | 94.8 | 18.0 | 28.1 | 0.322 | 0.808 | |
| PhosphoPredict | 95.8 | 48.3 | 96.7 | 20.2 | 28.3 | 0.295 | 0.845 | |
| PKC | KinasePhos | 96.4 | 15.1 | 98.3 | 17.0 | 16.0 | 0.142 | 0.568 |
| GPS | 95.8 | 35.8 | 97.1 | 22.5 | 27.6 | 0.263 | 0.666 | |
| Musite | 93.1 | 41.5 | 94.2 | 14.2 | 21.2 | 0.214 | 0.682 | |
| PhosphoPredict | 93.3 | 29.2 | 94.8 | 11.4 | 16.4 | 0.153 | 0.714 |
The best results for each kinase and performance measure are highlighted in bold.