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Table 1 Pearson’s correlation coefficient for different input features

From: Improved model quality assessment using ProQ2

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)
  1. Overall Pearson’s correlation coefficient, for different input features, benchmarked using cross-validation on the CASP7 data set. (Errors correspond to 99.9% confidence intervals).