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Table 3 MQAPs ability to detect most accurate model in set of alternative models (analysis performed on a set of all CASP7 server models).

From: MetaMQAP: A meta-server for the quality assessment of protein models

  

Percentile of GDT_TS

Method

average GDT_TS of top-ranked models

1

5

25

50 (median)

75

95

99

QA_634

57.74

8.85

18.1

35.38

57.32

73.63

93.70

96.85

QA_556

64.03

13.11

17.66

46.60

68.24

81.01

94.71

99.14

QA_704

62.23

16.65

22.31

40.90

62.97

78.56

93.34

97.10

QA_713

64.67

15.34

21.65

41.78

68.17

81.58

95.15

97.07

MetaMQAP

60.78

14.93

20.39

37.75

64.13

81.11

95.64

98.18

ProQ

59.53

14.78

19.09

32.67

62.56

76.32

94.63

97.28

Best server model

70.93

23.20

30.98

54.63

72.05

85.47

96.13

99.20

  1. The table shows the average GDT_TS score calculated for each top-ranked (according to different MQAPs) model for all targets, as well as cumulative scores for different percentiles of top-ranked models.