`
GR code
GR name
Domains Count
SUM Zscore (>-2.0)
Rank SUM Zscore (>-2.0)
AVG Zscore (>-2.0)
Rank AVG Zscore (>-2.0)
AVG Zscore (>0.0)
Rank AVG Zscore (>0.0)
1
024
Zhang
123
120.6670
1
0.9810
2
120.9700
1
0.9835
2
2
020
Baker
116
110.5270
2
0.9528
3
112.1000
2
0.9664
3
3
125
TASSER
122
101.6190
3
0.8329
5
102.6240
3
0.8412
5
4
025
Zhang-Server
123
97.6230
4
0.7937
6
99.6960
4
0.8105
6
5
050
SBC
121
88.1230
7
0.7283
11
94.0200
5
0.7770
8
6
568
CHIMERA
122
90.1770
5
0.7392
8
92.9770
6
0.7621
9
7
664
CIRCLE-FAMS
122
89.4820
6
0.7335
9
91.8120
7
0.7526
10
8
651
verify
122
86.6580
9
0.7103
12
89.4480
8
0.7332
12
9
005
luethy
123
83.3990
11
0.6780
14
88.3500
9
0.7183
14
10
698
MQAP-Consensus
122
85.0970
10
0.6975
13
88.1960
10
0.7229
13
11
038
GeneSilico
117
87.0440
8
0.7440
7
87.7290
11
0.7498
11
12
675
FAMS_ACE
122
81.6310
12
0.6691
15
85.9260
12
0.7043
15
13
113
Bates
122
77.3690
13
0.6342
17
82.6500
13
0.6775
18
14
047
Pmodeller6
123
68.6320
17
0.5580
22
78.0790
14
0.6348
22
15
658
hPredGrp
122
70.6820
14
0.5794
20
77.8060
15
0.6378
21
16
671
FAMS-MULTI
122
70.0550
15
0.5742
21
73.7730
16
0.6047
26
17
026
SAMUDRALA
121
63.4740
19
0.5246
24
71.7590
17
0.5930
27
18
556
LEE
120
63.6960
18
0.5264
23
71.6190
18
0.5919
28
19
013
Jones-UCL
114
69.1660
16
0.6067
18
71.5670
19
0.6278
24
20
004
ROBETTA
122
63.2410
20
0.5184
25
69.9460
20
0.5733
30
21
307
MetaTasser
122
54.8990
22
0.4500
31
68.5620
21
0.5620
31
22
027
SAMUDRALA-AB
121
59.3360
21
0.4904
27
65.5950
22
0.5421
33
23
214
BayesHH
122
48.3240
31
0.3961
41
65.0000
23
0.5328
34
24
710
Ligand-Circle
105
50.9020
26
0.4848
28
64.9450
24
0.6185
25
25
018
LUO
111
53.2740
24
0.4799
29
61.4280
25
0.5534
32
26
213
HHpred2
116
44.9070
33
0.3871
42
61.3090
26
0.5285
35
27
046
Pcons6
123
53.7280
23
0.4368
33
61.0420
27
0.4963
39
28
010
SAM-T06
123
50.2600
27
0.4086
38
60.2340
28
0.4897
40
29
276
keasar
122
50.2600
27
0.4120
36
59.3940
29
0.4868
41
30
298
CIRCLE
122
51.4790
25
0.4220
35
59.2740
30
0.4859
42
31
439
Sternberg
121
49.6650
29
0.4105
37
58.4180
31
0.4828
43
32
418
HHpred3
115
43.6700
36
0.3797
44
57.7540
32
0.5022
36
33
034
ROKKO
119
42.0650
38
0.3535
49
56.1890
33
0.4722
46
34
105
andante
112
49.4350
30
0.4414
32
56.1660
34
0.5015
37
35
349
FAMSD
122
46.9620
32
0.3849
43
54.4410
35
0.4462
47
36
267
RAPTOR-ACE
122
44.1690
34
0.3620
46
53.4270
36
0.4379
50
37
245
UNI-EID_expm
122
34.3920
46
0.2819
62
53.2920
37
0.4368
51
38
351
FAMS
122
44.1010
35
0.3615
47
51.9420
38
0.4258
54
39
416
honiglab
109
43.5470
37
0.3995
40
51.5710
39
0.4731
45
40
248
RAPTOR
122
37.2870
41
0.3056
57
50.6700
40
0.4153
55
41
275
beautshot
122
38.7820
39
0.3179
55
50.4880
41
0.4138
56
42
414
SP3
122
36.5130
43
0.2993
60
49.5960
42
0.4065
57
43
212
HHpred1
114
30.8400
48
0.2705
63
49.5740
43
0.4349
52
44
415
SP4
122
37.0460
42
0.3037
59
49.4810
44
0.4056
58
45
137
3Dpro
122
29.5210
49
0.2420
65
49.3630
45
0.4046
59
46
338
UCB-SHI
113
34.9630
45
0.3094
56
48.2460
46
0.4270
53
47
091
Ma-OPUS
121
38.4820
40
0.3180
54
48.1670
47
0.3981
61
48
337
AMU-Biology
108
35.4410
44
0.3282
52
47.7330
48
0.4420
49
49
383
UNI-EID_bnmx
122
29.0800
52
0.2384
67
47.5220
49
0.3895
62
50
178
Bilab
122
24.6430
55
0.2020
73
45.7150
50
0.3747
64
51
435
RAPTORESS
122
29.0860
51
0.2384
66
45.5640
51
0.3735
65
52
074
SHORTLE
98
32.1300
47
0.3279
53
43.4450
52
0.4433
48
53
029
PROTINFO-AB
121
19.3520
63
0.1599
80
43.1450
53
0.3566
68
54
092
Ma-OPUS-server
122
18.1530
65
0.1488
83
43.1020
54
0.3533
72
55
035
ROKKY
121
20.6680
61
0.1708
79
42.3980
55
0.3504
74
56
347
beautshotbase
119
27.4940
53
0.2310
68
42.3520
56
0.3559
69
57
028
PROTINFO
119
22.0800
58
0.1855
76
42.2810
57
0.3553
71
58
609
GeneSilicoMetaServer
114
29.1790
50
0.2560
64
42.1140
58
0.3694
66
59
136
FOLDpro
122
15.2410
69
0.1249
88
41.4480
59
0.3397
79
60
318
FUNCTION
120
27.3110
54
0.2276
69
41.1200
60
0.3427
75
61
677
UAM-ICO-BIB
108
16.2410
68
0.1504
82
41.0490
61
0.3801
63
62
274
Shub
122
22.6690
57
0.1858
75
40.6990
62
0.3336
82
63
413
SPARKS2
122
23.8370
56
0.1954
74
40.5220
63
0.3321
84
64
389
SAM_T06_server
122
14.7140
71
0.1206
90
40.3890
64
0.3311
86
65
536
Chen-Tan-Kihara
117
21.0650
60
0.1800
78
40.0260
65
0.3421
76
66
469
Phyre-2
120
16.2950
67
0.1358
84
39.7410
66
0.3312
85
67
135
CBSU
122
18.9310
64
0.1552
81
39.5430
67
0.3241
87
68
211
KIST
117
15.1040
70
0.1291
87
39.1420
68
0.3345
81
69
297
MLee
109
8.8550
76
0.0812
95
37.1530
69
0.3409
78
70
087
Pan
123
3.7640
87
0.0306
100
35.4810
70
0.2885
96
71
601
LTB-WARSAW
97
21.2860
59
0.2194
70
34.4940
71
0.3556
70
72
490
lwyrwicz
107
19.8020
62
0.1851
77
33.8720
72
0.3166
88
73
243
UNI-EID_sfst
118
4.4350
84
0.0376
98
33.6170
73
0.2849
100
74
277
keasar-server
116
4.0150
85
0.0346
99
33.1500
74
0.2858
99
75
179
Bilab-ENABLE
121
-0.4180
106
-0.0035
104
32.7400
75
0.2706
101
76
640
jive
113
5.4100
82
0.0479
96
32.4690
76
0.2873
97
77
443
fais
92
3.5630
88
0.0387
97
31.4410
77
0.3417
77
78
599
KORO
46
13.1470
72
0.2858
61
31.3960
78
0.6825
17
79
261
mGen-3D
105
13.0510
73
0.1243
89
30.5940
79
0.2914
95
80
083
LOOPP
121
2.2750
91
0.0188
101
29.9990
80
0.2479
104
81
103
Huber-Torda
119
-0.3120
104
-0.0026
103
29.2020
81
0.2454
105
82
209
NanoDesign
96
8.2210
77
0.0856
94
28.9570
82
0.3016
92
83
205
NanoModel
122
-6.1080
125
-0.0501
109
28.5530
83
0.2340
109
84
319
FUGMOD
111
-0.7910
110
-0.0071
105
27.2100
84
0.2451
106
85
132
Softberry
116
-13.0890
137
-0.1128
114
27.1160
85
0.2338
110
86
654
NN_PUT_lab
118
-2.0540
115
-0.0174
107
26.6070
86
0.2255
112
87
021
karypis
86
-10.5000
134
-0.1221
115
26.0230
87
0.3026
91
88
063
FEIG
121
-15.9270
140
-0.1316
117
25.4990
88
0.2107
116
89
111
panther
81
16.5400
66
0.2042
72
25.3500
89
0.3130
90
90
186
CaspIta-FOX
121
-19.8210
145
-0.1638
121
25.3430
90
0.2094
117
91
728
Ma-OPUS-server2
77
7.9700
78
0.1035
93
24.2810
91
0.3153
89
92
022
karypis.srv
100
-20.2330
147
-0.2023
127
22.8980
92
0.2290
111
93
706
TENETA
118
-21.3350
150
-0.1808
124
21.2470
93
0.1801
122
94
381
SAM-T02
115
-20.8470
149
-0.1813
125
21.1990
94
0.1843
120
95
242
FUGUE
119
-18.9670
144
-0.1594
119
20.9230
95
0.1758
123
96
380
SAM-T99
94
-5.9030
124
-0.0628
111
20.8760
96
0.2221
113
97
239
nFOLD
111
-18.0350
143
-0.1625
120
20.1480
97
0.1815
121
98
268
karypis.srv.2
95
-17.0430
142
-0.1794
122
20.0990
98
0.2116
115
99
468
Phyre-1
114
-24.7930
153
-0.2175
129
19.4680
99
0.1708
124
100
197
MTUNIC
117
-67.5210
171
-0.5771
147
18.8580
100
0.1612
126
101
208
Nano3D
70
-0.7140
109
-0.0102
106
18.7620
101
0.2680
102
102
247
3D-JIGSAW_POPULUS
117
-25.4160
154
-0.2172
128
18.1680
102
0.1553
129
103
203
forecast
117
-64.9990
170
-0.5555
146
17.5070
103
0.1496
133
104
316
FORTE2
123
-51.4600
166
-0.4184
139
17.3740
104
0.1413
136
105
102
Huber-Torda-Server
119
-57.3500
167
-0.4819
143
17.2910
105
0.1453
135
106
139
ABIpro
121
-145.4180
184
-1.2018
171
16.5310
106
0.1366
139
107
420
3D-JIGSAW_RECOM
116
-32.2630
159
-0.2781
131
16.0990
107
0.1388
137
108
033
POEM-REFINE
25
7.6170
80
0.3047
58
15.7550
108
0.6302
23
109
401
MIG
102
-30.9260
157
-0.3032
132
15.6970
109
0.1539
131
110
705
Akagi
115
-44.5640
164
-0.3875
136
15.2200
110
0.1323
141
111
257
FORTE1
123
-50.1460
165
-0.4077
138
14.8200
111
0.1205
144
112
302
3D-JIGSAW
116
-39.9870
163
-0.3447
133
12.7320
112
0.1098
146
113
333
forecast-s
114
-73.9820
173
-0.6490
150
12.4110
113
0.1089
147
114
393
Distill_human
122
-97.6860
179
-0.8007
158
12.0920
114
0.0991
151
115
168
Distill
122
-99.1650
180
-0.8128
159
11.5030
115
0.0943
152
116
614
Brooks_caspr
23
9.7180
75
0.4225
34
11.4310
116
0.4970
38
117
250
fleil
78
-36.5540
161
-0.4686
141
11.3880
117
0.1460
134
118
249
taylor
46
-3.8620
119
-0.0840
112
11.0560
118
0.2403
108
119
191
Schomburg-group
21
10.0100
74
0.4767
30
10.0100
119
0.4767
44
120
564
ShakSkol-AbInitio
15
7.4300
81
0.4953
26
9.8000
120
0.6533
20
121
494
CPHmodels
61
-24.3870
152
-0.3998
137
8.4320
121
0.1382
138
122
040
YASARA
23
7.6420
79
0.3323
51
8.1150
122
0.3528
73
123
170
LMU
77
-28.6960
156
-0.3727
134
7.9190
123
0.1028
148
124
071
Wymore
48
-10.5760
135
-0.2203
130
7.3400
124
0.1529
132
125
550
ZIB-THESEUS
101
-85.9770
177
-0.8513
162
7.2280
125
0.0716
155
126
757
SSU
24
-3.6710
118
-0.1530
118
7.1280
126
0.2970
93
127
368
Frankenstein
59
-31.6050
158
-0.5357
145
7.1160
127
0.1206
143
128
044
gtg
84
-64.0560
169
-0.7626
156
7.1000
128
0.0845
154
129
121
Peter-G-Wolynes
33
-20.0050
146
-0.6062
149
6.8370
129
0.2072
118
130
064
LMM-Bicocca
26
-1.3610
112
-0.0523
110
6.5220
130
0.2508
103
131
060
HIT-ITNLP
119
-120.4590
181
-1.0123
165
5.5190
131
0.0464
161
132
683
MUMSSP
15
5.3130
83
0.3542
48
5.4320
132
0.3621
67
133
069
panther2
89
-74.7620
174
-0.8400
161
5.3240
133
0.0598
157
134
273
BioDec
61
-35.5390
160
-0.5826
148
5.3190
134
0.0872
153
135
474
PUT_lab
78
-88.5730
178
-1.1356
167
4.9250
135
0.0631
156
136
062
Floudas
28
-13.4980
138
-0.4821
144
4.5020
136
0.1608
127
137
650
Schulten
13
-1.6790
114
-0.1292
116
4.3290
137
0.3330
83
138
194
Scheraga
42
-38.9010
162
-0.9262
163
4.2330
138
0.1008
150
139
721
ROBETTA-late
6
3.8610
86
0.6435
16
4.1790
139
0.6965
16
140
453
Deane
27
-10.2660
133
-0.3802
135
3.5460
140
0.1313
142
141
794
MerzShak
4
2.9260
89
0.7315
10
3.1630
141
0.7907
7
142
427
CADCMLAB
116
-151.7270
185
-1.3080
175
2.9370
142
0.0253
163
143
641
tlbgroup
13
0.0850
102
0.0065
102
2.8810
143
0.2216
114
144
397
Tripos-Cambridge
10
1.0760
95
0.1076
92
2.8670
144
0.2867
98
145
234
McCormack_Okazaki
11
-0.3830
105
-0.0348
108
2.6870
145
0.2443
107
146
586
MIG_FROST
51
-60.5500
168
-1.1873
170
2.5050
146
0.0491
160
147
030
TsaiLab
21
-9.5430
131
-0.4544
140
2.3880
147
0.1137
145
148
224
ricardo
4
2.3640
90
0.5910
19
2.3640
148
0.5910
29
149
011
Dlakic-MSU
7
0.9220
96
0.1317
86
2.0510
149
0.2930
94
150
527
chaos
18
-14.0210
139
-0.7789
157
1.8500
150
0.1028
149
151
495
largo
2
1.8330
92
0.9165
4
1.8330
151
0.9165
4
152
509
SEZERMAN
77
-77.4040
175
-1.0052
164
1.6690
152
0.0217
165
153
559
GSK-CCMM
4
1.6050
93
0.4012
39
1.6050
153
0.4012
60
154
638
Soeding
1
1.4680
94
1.4680
1
1.4680
154
1.4680
1
155
766
ASSEMBLY
2
0.7270
97
0.3635
45
1.3370
155
0.6685
19
156
304
panther3
21
-23.8670
151
-1.1365
168
1.2450
156
0.0593
158
157
464
POMYSL
64
-79.0260
176
-1.2348
173
0.9940
157
0.0155
167
158
109
Cracow.pl
48
-67.6700
172
-1.4098
177
0.8110
158
0.0169
166
159
735
EBGM
14
-9.1270
129
-0.6519
151
0.7070
159
0.0505
159
160
501
Bristol_Comp_Bio
4
0.4780
98
0.1195
91
0.6380
160
0.1595
128
161
193
karypis.srv.4
82
-136.4080
183
-1.6635
182
0.6250
161
0.0076
170
162
263
igor
14
-9.1640
130
-0.6546
152
0.6080
162
0.0434
162
163
588
MIG_FROST_FLEX
3
-2.1750
116
-0.7250
155
0.5030
163
0.1677
125
164
708
MicheleVendruscolo
3
-0.5760
108
-0.1920
126
0.4650
164
0.1550
130
165
016
AMBER-PB
1
0.3380
99
0.3380
50
0.3380
165
0.3380
80
166
043
hu
2
0.2670
100
0.1335
85
0.2670
166
0.1335
140
167
226
Struct-Pred-Course
1
0.2050
101
0.2050
71
0.2050
167
0.2050
119
168
511
FPSOLVER-SERVER
115
-194.4460
186
-1.6908
183
0.1030
168
0.0009
171
169
610
Dlakic-DGSA
3
-1.4130
113
-0.4710
142
0.0670
169
0.0223
164
170
284
Oka
5
-4.0710
121
-0.8142
160
0.0420
170
0.0084
168
171
278
Pushchino
5
-6.2300
127
-1.2460
174
0.0420
170
0.0084
168
172
736
dokhlab
1
-0.1050
103
-0.1050
113
0.0000
172
0.0000
172
173
622
SosnickFreed
3
-0.5390
107
-0.1797
123
0.0000
172
0.0000
172
174
673
ProteinShop
9
-6.1240
126
-0.6804
153
0.0000
172
0.0000
172
175
078
Dill-ZAP
6
-4.3470
122
-0.7245
154
0.0000
172
0.0000
172
176
300
BUKKA
1
-1.0820
111
-1.0820
166
0.0000
172
0.0000
172
177
483
Hirst-Nottingham
18
-20.6790
148
-1.1488
169
0.0000
172
0.0000
172
178
361
Doshisha-Nagoya
9
-10.9380
136
-1.2153
172
0.0000
172
0.0000
172
179
781
SCFBio-IITD
2
-2.7110
117
-1.3555
176
0.0000
172
0.0000
172
180
252
EAtorP
19
-27.6520
155
-1.4554
178
0.0000
172
0.0000
172
181
066
UF_GATORS
4
-5.8340
123
-1.4585
179
0.0000
172
0.0000
172
182
031
Avbelj
7
-10.2390
132
-1.4627
180
0.0000
172
0.0000
172
183
437
osgdj
10
-16.1810
141
-1.6181
181
0.0000
172
0.0000
172
184
746
CDAC
4
-6.8830
128
-1.7208
184
0.0000
172
0.0000
172
185
054
PROTEO
73
-129.8840
182
-1.7792
185
0.0000
172
0.0000
172
186
065
Protofold
2
-4.0000
120
-2.0000
186
0.0000
172
0.0000
172
The cummulative z-scores in this table are calculated according to the following procedure (example for the "first" models):
1. Calculate z-scores from the raw scores for all "first" models (corresponding values from the main result table);
2. Remove outliers - models with zscores below the tolerance threshold (set to -2.0);
3. Recalculate z-scores on the reduced dataset;
4. Assign z-scores below the penalty threshold (either -2.0 or 0.0) to the value of this threshold.