Feature | AMAE (Individual) | (SD) | AMAE (Integrated) | (SD) | p-value |
---|
tASA: | 18.73 | 0.92 | 17.43 | 0.75 | < 2.2e-16 |
scASA: | 24.32 | 0.79 | 22.32 | 0.96 | < 2.2e-16 |
npASA | 22.44 | 1.2 | 22.00 | 1.01 | 0.02 |
Phi: | 12.16 | 0.77 | 12.13 | 0.74 | 0.82 |
Psi: | 12.55 | 0.61 | 12.53 | 0.6 | 0.82 |
Kappa: | 8.51 | 0.57 | 8.20 | 0.51 | < 2.2e-16 |
Alpha: | 10.21 | 0.64 | 10.23 | 0.63 | 0.84 |
HHC(AUC): | 67.04 | 1.58 | 67.29 | 1.19 | 0.26 |
- AMAE represents the average of the protein-wise mean absolute error (or AUC, the area under the ROC curve, in the case of HHC) and the standard deviation (SD) indicates the protein-wise variation of the AMAE values. The p-values are obtained by Welsh's t-test implemented in the R-programming language. The Integrated model outperformed the individually trained ones for the ASA and bend angle (kappa) predictions, but showed no statistically significant difference for the other conformational angles.