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Table 3 Comparison of the best QMEAN versions with other methods participating in CASP7.

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

Scoring function Pearson Spearman sum(GDT)
QMEAN 0.752 0.684 56.70
Circle-QA 0.718 0.643 56.03
ProQ 0.700 0.571 54.29
ProQlocal 0.698 0.563 54.17
Bilab 0.683 0.561 54.50
ModFOLD 0.661 0.580 54.19
ABIpro 0.653 0.605 56.40
selfQMEAN 0.830 0.749 56.60
QMEANclust 0.892 0.841 58.11
Pcons 0.801 0.714 54.36
TASSER-QA 0.828 0.785 57.23
Zhang server - - 57.35
Random model selection - - 46.19
Best model per target - - 62.00
  1. Average correlation coefficient and total maximum GDT_TS score of the optimised QMEAN, QMEANclust and selfQMEAN versions and the top performing methods of CASP7. Only scoring functions with predictions for all 98 targets are shown.