Table 1 Pearson’s correlation coefficient for different input features
Training data | Pearson’s correlation |
|---|---|
ProQ | 0.54 (±0.006) |
Retrained ProQ (Base) | 0.55 (±0.006) |
Atom | 0.43 (±0.006) |
Residue | 0.27 (±0.008) |
Surface | 0.47 (±0.006) |
Residue + Profile Weighting | 0.32 (±0.007) |
Surface + Profile Weighting | 0.51 (±0.006) |
Base + Global Surface Area Prediction | 0.65 (±0.005) |
Base + Global Secondary Structure Pred. | 0.65 (±0.005) |
Base + Profile Weighting | 0.62 (±0.005) |
Base + Local Surface Area Prediction | 0.58 (±0.005) |
Base + Local Secondary Structure Pred. | 0.58 (±0.005) |
Base + Information per position (Conservation) | 0.56 (±0.006) |
All Combined (ProQ2) | 0.71 (±0.004) |