CASP1 - CASP9
(* results recalculated with new /updated structure comparison programs in 2019)
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TS Analysis : Z-score based relative group performance

    Models:

    • Ranking on the models designated as "1"
    • Ranking on best models

    Groups:

    • All groups on 'all groups' targets
    • Server groups on 'all groups' + 'server only' targets

    Formula and Domains:

      The ranking of groups is based on the analysis of zscores for GDT_TS.
    • easy (TBM)
    • medium (TBM/FM)
    • hard (FM)
 
 
  #   GR
  code 		   GR
  name		   Domains   
  Count		   SUM Zscore   
  (>-2.0)		   Rank SUM Zscore   
  (>-2.0)		   AVG Zscore   
  (>-2.0)		   Rank AVG Zscore   
  (>-2.0)		   SUM Zscore   
  (>0.0)		   Rank SUM Zscore   
  (>0.0)		   AVG Zscore   
  (>0.0)		   Rank AVG Zscore   
  (>0.0)
1 450 Ginalski 86 103.4840 1 1.2033 2 106.1060 1 1.2338 2
2 100 BAKER 87 92.7680 2 1.0663 5 94.8080 2 1.0897 5
3 021 KOLINSKI_BUJNICKI 87 83.0020 3 0.9540 6 85.4900 3 0.9826 6
4 176 Skolnick-Zhang 87 76.0720 4 0.8744 7 78.3940 4 0.9011 7
5 035 GeneSilico-Group 87 68.6120 5 0.7886 12 74.8270 5 0.8601 9
6 166 SAM-T04-hand 87 68.1540 6 0.7834 13 70.5910 6 0.8114 14
7 454 CHIMERA 86 62.8980 7 0.7314 15 66.7900 7 0.7766 16
8 109 SBC 87 50.9310 10 0.5854 19 59.1830 8 0.6803 19
9 604 BAKER-ROBETTA_04 86 49.5290 11 0.5759 21 56.6680 9 0.6589 20
10 272 CBRC-3D 70 52.3800 9 0.7483 14 56.5200 10 0.8074 15
11 003 Jones-UCL 75 54.0440 8 0.7206 16 56.4280 11 0.7524 17
12 237 Sternberg 87 46.4050 14 0.5334 41 54.9470 12 0.6316 22
13 501 MCON 84 48.7920 12 0.5809 20 54.4840 13 0.6486 21
14 506 SBC-Pmodeller5 86 42.1920 15 0.4906 42 52.8900 14 0.6150 24
15 101 BAKER-ROBETTA 87 46.5030 13 0.5345 40 50.7750 15 0.5836 42
16 051 Rokko 87 37.2280 17 0.4279 49 48.6280 16 0.5589 46
17 400 ACE 86 36.5940 19 0.4255 50 48.5230 17 0.5642 44
18 011 MacCallum 87 31.6920 24 0.3643 59 46.9320 18 0.5394 51
19 573 CAFASP-Consensus 86 33.9180 22 0.3944 54 46.8070 19 0.5443 50
20 504 SBC-Pcons5 86 31.2400 27 0.3633 60 45.1700 20 0.5252 52
21 344 WATERLOO 78 36.0110 20 0.4617 45 44.1320 21 0.5658 43
22 160 Keasar 78 36.9080 18 0.4732 44 43.6860 22 0.5601 45
23 223 Eidogen-EXPM 86 21.6360 40 0.2516 71 43.2950 23 0.5034 54
24 242 Zhou-SPARKS2 87 30.5410 29 0.3510 62 43.0130 24 0.4944 56
25 042 LTB_Warsaw 78 31.2720 26 0.4009 52 42.9880 25 0.5511 48
26 561 Fischer 72 40.1110 16 0.5571 23 42.6340 26 0.5921 25
27 207 Zhou-SP3 87 30.5030 30 0.3506 63 42.3420 27 0.4867 58
28 026 SAMUDRALA 85 22.9640 38 0.2702 69 40.7140 28 0.4790 61
29 213 Eidogen-BNMX 83 15.9720 44 0.1924 76 40.2940 29 0.4855 59
30 197 CBSU 87 24.1550 35 0.2776 67 39.8810 30 0.4584 68
31 210 Eidogen-SFST 87 12.4490 48 0.1431 86 39.4300 31 0.4532 71
32 007 SHORTLE 70 31.6870 25 0.4527 46 38.9210 32 0.5560 47
33 060 Bilab 84 12.8500 45 0.1530 81 38.8490 33 0.4625 66
34 319 Honiglab 56 34.3700 21 0.6138 18 38.5730 34 0.6888 18
35 157 3D-JIGSAW 81 30.9730 28 0.3824 55 37.5640 35 0.4638 65
36 096 CaspIta 77 17.5820 42 0.2283 73 36.1280 36 0.4692 64
37 367 CMM-CIT-NIH 57 31.9410 23 0.5604 22 35.7950 37 0.6280 23
38 680 LOOPP_Manual 75 20.6000 41 0.2747 68 35.5160 38 0.4735 62
39 079 Rohl 73 26.6690 32 0.3653 58 35.2390 39 0.4827 60
40 394 RAPTOR 79 23.7590 37 0.3007 66 35.0620 40 0.4438 73
41 009 UGA_IBM-PROSPECT 76 27.3200 31 0.3595 61 34.9900 41 0.4604 67
42 052 Rokky 85 16.3650 43 0.1925 75 34.1750 42 0.4021 81
43 030 PROTINFO 83 2.4220 90 0.0292 99 33.6270 43 0.4051 79
44 113 Pmodeller5 68 12.7350 47 0.1873 77 33.1590 44 0.4876 57
45 607 BioInfo_Kuba 63 23.8820 36 0.3791 56 33.0410 45 0.5245 53
46 283 Sternberg_Phyre 81 12.3110 49 0.1520 82 32.9790 46 0.4071 78
47 591 VENCLOVAS 37 26.6080 33 0.7191 17 32.6080 47 0.8813 8
48 612 Agata 71 21.8320 39 0.3075 65 32.4680 48 0.4573 69
49 579 TOME 64 25.3090 34 0.3955 53 31.7770 49 0.4965 55
50 331 hmmspectr3 85 12.8440 46 0.1476 84 30.3870 50 0.3493 92
51 033 mGenTHREADER 87 -4.0580 112 -0.0466 105 30.0870 51 0.3458 95
52 126 Pan 87 7.7990 58 0.0896 90 29.6730 52 0.3411 97
53 530 B213-207 84 10.5980 50 0.1262 88 29.2240 53 0.3479 93
54 451 FUGMOD_SERVER 86 -8.1600 121 -0.0949 109 28.2860 54 0.3289 99
55 199 GOR5 77 4.2010 80 0.0546 92 28.0290 55 0.3640 88
56 185 Huber-Torda 81 2.8070 84 0.0347 98 27.0680 56 0.3342 98
57 231 FORTE2 87 -13.0520 134 -0.1500 119 26.0370 57 0.2993 109
58 164 SAM-T02 82 -13.2830 136 -0.1620 122 25.3080 58 0.3086 104
59 287 Sternberg_3dpssm 85 -17.1660 146 -0.2020 129 24.6210 59 0.2897 112
60 478 boniaki_pred 65 9.4260 54 0.1450 85 24.2630 60 0.3733 85
61 596 hmmspectr_fold 71 10.1080 52 0.1424 87 24.2430 61 0.3415 96
62 375 FAMS 86 -7.0020 118 -0.0814 107 24.2090 62 0.2815 115
63 352 nFOLD 87 -9.7070 126 -0.1116 112 23.9590 63 0.2754 122
64 289 3D-JIGSAW-server 85 -15.9460 141 -0.1876 126 23.8770 64 0.2809 116
65 089 KIAS 86 -24.1740 159 -0.2811 133 23.8410 65 0.2772 120
66 376 FAMD 86 -12.1260 130 -0.1410 118 23.7460 66 0.2761 121
67 112 Pcons5 68 -8.8650 125 -0.1304 116 23.6540 67 0.3479 94
68 232 Biovertis 58 9.3070 55 0.1605 79 23.4810 68 0.4048 80
69 398 FUGUE_SERVER 87 -16.7930 145 -0.1930 128 23.4680 69 0.2697 124
70 229 FORTE1 87 -15.8980 140 -0.1827 125 22.3620 70 0.2570 125
71 482 Luo 77 7.4940 59 0.0973 89 22.1820 71 0.2881 114
72 186 Huber-Torda-server 87 -30.4770 167 -0.3503 141 22.1210 72 0.2543 126
73 418 FFAS04 70 -8.6020 124 -0.1229 114 21.2140 73 0.3031 106
74 114 Pcomb2 81 -38.2960 174 -0.4728 151 20.4490 74 0.2525 127
75 305 Ho-Kai-Ming 75 -3.0850 109 -0.0411 104 20.3220 75 0.2710 123
76 261 HOGUE-STEIPE 67 2.4610 85 0.0367 97 20.0060 76 0.2986 110
77 629 TENETA 82 -8.4340 122 -0.1029 110 19.7210 77 0.2405 128
78 550 MZ_2004 85 -13.4110 137 -0.1578 120 19.5460 78 0.2300 132
79 163 SAM-T99 62 -13.1130 135 -0.2115 130 18.6240 79 0.3004 107
80 314 FFAS03 66 -10.4830 127 -0.1588 121 18.4080 80 0.2789 119
81 019 Baldi-group-server 86 -76.7710 187 -0.8927 174 18.3610 81 0.2135 136
82 018 Baldi-group 87 -72.6800 184 -0.8354 171 18.0100 82 0.2070 139
83 324 LOOPP 87 -28.1330 165 -0.3234 137 17.8230 83 0.2049 142
84 381 SSEP-Align 63 -10.8250 128 -0.1718 123 17.6000 84 0.2794 118
85 243 nanoModel 87 -16.5840 144 -0.1906 127 17.3930 85 0.1999 143
86 308 ARBY 43 6.5960 60 0.1534 80 17.0090 86 0.3956 82
87 513 KIST_CHI 52 -1.2170 103 -0.0234 102 16.8110 87 0.3233 101
88 230 FORTE1T 87 -36.8520 171 -0.4236 147 16.4240 88 0.1888 146
89 348 Distill 87 -75.0110 185 -0.8622 173 15.6960 89 0.1804 147
90 631 ring 82 -19.8340 150 -0.2419 131 15.5760 90 0.1900 145
91 406 MLG 74 -23.1630 155 -0.3130 136 15.5710 91 0.2104 138
92 111 HHpred.3 52 -2.9920 108 -0.0575 106 15.5660 92 0.2993 108
93 338 CaspIta-FOX 86 -37.1730 173 -0.4322 148 15.2820 93 0.1777 148
94 139 ESyPred3D 47 2.1500 92 0.0457 96 15.1930 94 0.3233 102
95 094 CLB3Group 73 -18.4010 147 -0.2521 132 15.0430 95 0.2061 140
96 217 MPM 36 1.8100 93 0.0503 93 14.9690 96 0.4158 76
97 244 nanoFold 83 -25.9160 162 -0.3122 135 14.6170 97 0.1761 149
98 384 Pushchino 66 -8.0230 120 -0.1216 113 14.4920 98 0.2196 134
99 263 HOGUE-HOMTRAJ 62 -8.5700 123 -0.1382 117 14.2910 99 0.2305 131
100 064 Scheraga 39 -16.1840 142 -0.4150 146 14.2160 100 0.3645 87
101 304 PROSPECT 79 -25.6400 161 -0.3246 138 13.8200 101 0.1749 150
102 290 3D-JIGSAW-recomb 67 -22.6870 153 -0.3386 140 13.7610 102 0.2054 141
103 137 MIG_FROST 32 10.1790 51 0.3181 64 13.3040 103 0.4158 77
104 110 HHpred.2 43 0.6820 98 0.0159 100 13.2800 104 0.3088 103
105 027 SAMUDRALA-AB 40 -23.7850 158 -0.5946 161 13.1500 105 0.3287 100
106 046 Also-ran 41 0.5280 99 0.0129 101 12.6050 106 0.3074 105
107 081 Preissner_Steinke 76 -35.5000 170 -0.4671 150 11.8500 107 0.1559 151
108 156 CHEN-WENDY 32 5.1950 62 0.1623 78 11.7800 108 0.3681 86
109 247 nanoFold_NN 84 -32.8540 168 -0.3911 145 11.6530 109 0.1387 155
110 122 Luethy 87 -49.8540 180 -0.5730 158 11.2450 110 0.1293 159
111 544 Pmodeller5-late 19 9.2230 56 0.4854 43 11.2240 111 0.5907 26
112 032 Rost 38 -4.0110 111 -0.1056 111 11.0920 112 0.2919 111
113 472 Softberry 85 -49.5110 179 -0.5825 159 10.8720 113 0.1279 160
114 105 HU 28 -0.8760 102 -0.0313 103 10.6210 114 0.3793 83
115 245 nano_ab 83 -41.1610 177 -0.4959 156 10.4010 115 0.1253 162
116 383 SUPred 80 -38.5140 175 -0.4814 152 10.3890 116 0.1299 158
117 685 PSWatch 3 9.7360 53 3.2453 1 9.7360 117 3.2453 1
118 514 KIST_CHOI 82 -40.6030 176 -0.4952 155 9.6670 118 0.1179 165
119 393 AGAPE-0.3 45 -4.0700 113 -0.0904 108 9.5720 119 0.2127 137
120 606 Taylor 79 -26.6410 164 -0.3372 139 9.1400 120 0.1157 166
121 061 FRCC 71 -34.8840 169 -0.4913 153 8.9120 121 0.1255 161
122 073 Atid 19 0.9520 96 0.0501 94 8.6610 122 0.4558 70
123 067 Strx_Bix_Geneva 18 8.1250 57 0.4514 47 8.4870 123 0.4715 63
124 543 Pcons5-late 19 4.4000 64 0.2316 72 8.0140 124 0.4218 74
125 512 KIST-YOON 78 -50.6280 181 -0.6491 164 7.9260 125 0.1016 169
126 014 Wymore 25 1.2310 94 0.0492 95 7.2020 126 0.2881 113
127 267 Accelrys 20 5.0570 63 0.2529 70 7.1470 127 0.3574 89
128 475 BioDec 30 -14.8110 138 -0.4937 154 7.0870 128 0.2362 130
129 092 mbfys.lu.se 61 -47.2370 178 -0.7744 168 6.7460 129 0.1106 168
130 057 Bishop 30 -19.4310 149 -0.6477 163 6.4870 130 0.2162 135
131 532 McCormack 43 -16.4770 143 -0.3832 144 6.1650 131 0.1434 154
132 172 ProteinShop 16 2.3950 91 0.1497 83 5.6370 132 0.3523 91
133 420 RAGHAVA-GPS-rpfold 49 -25.1090 160 -0.5124 157 5.5820 133 0.1139 167
134 390 YASARA 10 5.4860 61 0.5486 24 5.4860 134 0.5486 49
135 648 PROFESY 15 2.9070 82 0.1938 74 5.3370 135 0.3558 90
136 013 NesFold 39 -23.3550 156 -0.5988 162 5.1520 136 0.1321 157
137 106 MF 69 -63.6510 182 -0.9225 175 5.0670 137 0.0734 171
138 656 Brooks-Zheng 34 -12.5510 132 -0.3691 142 4.9190 138 0.1447 153
139 437 THGLAB 33 -12.4260 131 -0.3765 143 4.9120 139 0.1488 152
140 552 Shiroganese 86 -80.8750 188 -0.9404 176 4.7240 140 0.0549 175
141 619 BioInfo_Student12 8 4.3640 65 0.5455 25 4.6920 141 0.5865 27
142 609 BioInfo_Student2 8 4.3640 65 0.5455 25 4.6920 141 0.5865 27
143 610 BioInfo_Student3 8 4.3640 65 0.5455 25 4.6920 141 0.5865 27
144 611 BioInfo_Student4 8 4.3640 65 0.5455 25 4.6920 141 0.5865 27
145 613 BioInfo_Student6 8 4.3640 65 0.5455 25 4.6920 141 0.5865 27
146 614 BioInfo_Student7 8 4.3640 65 0.5455 25 4.6920 141 0.5865 27
147 615 BioInfo_Student8 8 4.3640 65 0.5455 25 4.6920 141 0.5865 27
148 620 BioInfo_Student13 8 4.3640 65 0.5455 25 4.6920 141 0.5865 27
149 621 BioInfo_Student14 8 4.3640 65 0.5455 25 4.6920 141 0.5865 27
150 622 BioInfo_Student15 8 4.3640 65 0.5455 25 4.6920 141 0.5865 27
151 623 BioInfo_Student16 8 4.3640 65 0.5455 25 4.6920 141 0.5865 27
152 624 BioInfo_Student17 8 4.3640 65 0.5455 25 4.6920 141 0.5865 27
153 625 BioInfo_Student18 8 4.3640 65 0.5455 25 4.6920 141 0.5865 27
154 626 BioInfo_Student19 8 4.3640 65 0.5455 25 4.6920 141 0.5865 27
155 627 BioInfo_Student20 8 4.3640 65 0.5455 25 4.6920 141 0.5865 27
156 428 ThermoBlast 48 -36.9230 172 -0.7692 167 4.2760 156 0.0891 170
157 439 Schulten-Wolynes 15 -1.9210 105 -0.1281 115 4.1910 157 0.2794 117
158 519 Panther2 68 -69.7300 183 -1.0254 178 4.0700 158 0.0599 174
159 456 Wolynes_Schulten 21 -6.0800 116 -0.2895 134 4.0000 159 0.1905 144
160 548 JIVE 17 -7.4090 119 -0.4358 149 3.9030 160 0.2296 133
161 031 PROTINFO-AB 31 -26.0160 163 -0.8392 172 3.7930 161 0.1224 163
162 599 DELCLAB 84 -111.9800 191 -1.3331 188 3.5120 162 0.0418 177
163 705 EBGM 3 3.3350 81 1.1117 3 3.3350 163 1.1117 3
164 152 Feig 7 2.8810 83 0.4116 51 2.9370 164 0.4196 75
165 618 BioInfo_Student11 3 2.4610 85 0.8203 8 2.4610 165 0.8203 10
166 608 BioInfo_Student1 3 2.4610 85 0.8203 8 2.4610 165 0.8203 10
167 616 BioInfo_Student9 3 2.4610 85 0.8203 8 2.4610 165 0.8203 10
168 617 BioInfo_Student10 3 2.4610 85 0.8203 8 2.4610 165 0.8203 10
169 049 RAGHAVA-GPS 82 -108.2540 190 -1.3043 185 2.3490 169 0.0283 181
170 321 BMERC 58 -76.6030 186 -1.3207 187 2.1200 170 0.0366 179
171 431 Panther 35 -20.7260 151 -0.5922 160 2.1190 171 0.0605 173
172 307 Babbitt-Jacobson 7 0.4920 100 0.0703 91 1.6700 172 0.2386 129
173 291 RANKPROP 12 -13.0220 133 -1.0852 180 1.4160 173 0.1180 164
174 690 Glo4 1 1.0970 95 1.0970 4 1.0970 174 1.0970 4
175 320 Protfinder 70 -87.5850 189 -1.2512 183 1.0380 175 0.0148 183
176 140 MIG_FROST-SERV 6 -3.9530 110 -0.6588 165 0.8070 176 0.1345 156
177 169 GSK 2 0.7560 97 0.3780 57 0.7560 177 0.3780 84
178 077 Floudas 12 -11.5980 129 -0.9665 177 0.6510 178 0.0542 176
179 402 Hirst-Nottingham 19 -23.1130 154 -1.2165 182 0.6100 179 0.0321 180
180 545 Cracow.pl 23 -30.1010 166 -1.3087 186 0.4840 180 0.0210 182
181 269 MUMSSP 1 0.4450 101 0.4450 48 0.4450 181 0.4450 72
182 716 Pcomb-late 6 -4.6770 114 -0.7795 169 0.3700 182 0.0617 172
183 040 RMUT 7 -1.2270 104 -0.1753 124 0.2860 183 0.0409 178
184 356 NIM_CASP6 19 -15.7270 139 -0.8277 170 0.1620 184 0.0085 184
185 641 HOGUE-DFP 8 -5.9980 115 -0.7498 166 0.0000 185 0.0000 185
186 044 osgdj 6 -6.1900 117 -1.0317 179 0.0000 185 0.0000 185
187 361 Karypis 2 -2.1810 107 -1.0905 181 0.0000 185 0.0000 185
188 104 BUKKA 18 -23.4250 157 -1.3014 184 0.0000 185 0.0000 185
189 444 Doshisha-IMS 12 -18.9250 148 -1.5771 189 0.0000 185 0.0000 185
190 276 foldid 12 -22.1560 152 -1.8463 190 0.0000 185 0.0000 185
191 254 CBiS 1 -2.0000 106 -2.0000 191 0.0000 185 0.0000 185
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.
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