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Table 6 Comparison of consensus and non-consensus based methods in the estimation of the local model quality.

From: QMEANclust: estimation of protein model quality by combining a composite scoring function with structural density information

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
  1. 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.