Table 6.
Comparison of consensus and non-consensus based methods in the estimation of the local model quality.
Scoring function | r | tau | ROCavg | ROCall | low10% | top10% |
QMEANclust_local | 0.83 | 0.53 | 0.88 | 0.93 | 2.2 | 29.5 |
selfQMEAN_local | 0.49 | 0.35 | 0.84 | 0.90 | 1.3 | 5.8 |
QMEAN_local | 0.43 | 0.32 | 0.80 | 0.83 | 0.8 | 4.3 |
ProQres | 0.28 | 0.26 | 0.74 | 0.77 | 0.9 | 5.8 |
r = average Pearson's correlation coefficient; tau = Kendalls's tau on a per model basis; ROC = area under ROC curve averaged over all 98 targets (avg) or using all residues pooled together (all); low/top10% = average Cα distance of the 10% lowest/highest scoring residues per target.