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

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

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

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.

ISSN: 1472-6807