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. 2012 Sep 10;13:224. doi: 10.1186/1471-2105-13-224

Table 5.

Benchmark of global model quality

Single-model methods R Rtarget ∑GDT1 ZGDT1
ProQ2
0.80/0.80
0.72/0.69
75.2/47.0
100.4/68.6
QMEAN
0.75/0.77
0.71/0.66
73.6/44.7
81.1/52.1
MetaMQAP
–/0.76
–/0.59
–/43.1
–/40.3
ConQuass
–/0.73
–/0.66
–/40.4
–/20.4
Distill_NNPIF
–/0.71
–/0.64
–/43.9
–/43.5
MULTICOM-CMFR
0.71/–
0.68/–
74.0/–
83.7/–
ProQ
0.67/0.68
0.65/0.54
71.5/42.3
59.3/40.0
Consensus methods
QMEANclust
0.89/0.96
0.94/0.91
75.8/48.6
104.1/81.41
MULTICOM-CLUSTER
0.96
0.91
48.7
82.3
Mufold
0.96
0.91
48.7
82.5
ProQ2+Pcons
0.89/0.95
0.94/0.89
76.9/48.7
118.5/81.6
Pcons
0.89/0.95
0.95/0.91
75.9/48.3
101.6/76.8
PconsM
0.95
0.90
47.9
70.2
United3D
0.95
0.92
48.8
81.2
MUFOLD-QA
0.95
0.92
48.3
79.5
ModFOLDclust2
0.95
0.90
48.4
80.6
MetaMQAPclust
0.95
0.91
48.4
78.2
IntFOLD-QA
0.95
0.90
48.4
79.9
MULTICOM-REFINE
0.94
0.88
46.2
66.6
MULTICOM
0.94
0.88
48.7
84.7
MQAPmulti
0.94
0.91
48.2
75.4
ModFOLDclustQ
0.94
0.87
48.6
82.3
MQAPsingle
0.92
0.81
45.3
45.2
MULTICOM-CONSTRUCT
0.90
0.82
46.6
63.3
gws
0.90
0.81
45.3
44.2
Splicer
0.89
0.85
47.6
75.4
LEE
0.89
0.80
45.1
42.9
Splicer_QA
0.88
0.84
47.8
77.4
Modcheck-J2
0.87
0.77
41.7
26.2
MUFOLD-WQA
0.86
0.91
49.0
83.9
SMEG-CCP
0.83
0.76
47.9
74.9
QMEANdist
0.80
0.84
47.8
77.1
QMEANfamily
0.75
0.68
44.8
50.3
GRIER-CONSENSUS
0.68
0.86
48.3
82.0
Baltymus
0.58
0.53
41.8
32.8
Best Possible 1.00/1.00 1.00/1.00 82.3/52.2 182.2/127.9

Benchmark of global model quality on CASP8 and CASP9 data sets. R is overall correlation, Rtarget the average correlation per target, ∑GDT1 is the the sum of the first-ranked models for each target and ∑ZGDT1 is the summed Z-score for the first-ranked models for each target. The first value corresponds to results on CASP8, the second to CASP9, and cells with only one value are CASP9 only.