Table 6.
Comparison of DEBT with other turn/non-turn prediction methods on three different datasets.
| Dataset | β-turn predictor | MCC | Qtotal (%) | Qpred (%) | Qobs (%) |
|---|---|---|---|---|---|
| GR426 | DEBT | 0.48 | 79.2 | 54.8 | 70.1 |
| Zheng and Kurgan [34] | 0.47 | 80.9 | 62.7 | 55.6 | |
| Hu and Li [37] | 0.47 | 79.8 | 55.6 | 68.9 | |
| Zhang et al. [35] | 0.45 | 77.3 | 53.1 | 67.0 | |
| BTSVM [36] | 0.45 | 78.7 | 56.0 | 62.0 | |
| MOLEBRNN [32] | 0.45 | 77.9 | 53.9 | 66.0 | |
| BETAPRED2 [31] | 0.43 | 75.5 | 49.8 | 72.3 | |
| COUDES [28] | 0.42 | 74.8 | 48.8 | 69.9 | |
| Kim [38] | 0.40 | 75.0 | 46.5 | 66.7 | |
| BTPRED [30] | 0.35 | 74.4 | 48.3 | 57.3 | |
| FA547 | DEBT | 0.49 | 80.0 | 55.9 | 68.7 |
| Zheng and Kurgan [34] | 0.45 | 80.5 | 61.6 | 54.2 | |
| COUDES [28] | 0.42 | 74.6 | 48.7 | 70.4 | |
| Hu and Li [37] | 0.43 | 76.6 | 47.6 | 70.2 | |
| FA823 | DEBT | 0.48 | 80.9 | 55.9 | 66.1 |
| Zheng and Kurgan [34] | 0.45 | 80.6 | 60.8 | 54.6 | |
| COUDES [28] | 0.41 | 74.2 | 47.5 | 69.6 | |
| Hu and Li [37] | 0.45 | 76.8 | 53.0 | 72.3 |
The methods are sorted by their reported MCC score. DEBT achieves the highest value on all datasets.