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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.
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BMC Structural Biology

ISSN: 1472-6807

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