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)
1 010 TSlab-refine 1 -2.0000 1 -2.0000 1 0.0000 1 0.0000 1
2 290 Wallner 2 -4.0000 2 -2.0000 1 0.0000 1 0.0000 1
3 048 Bhageerath_abinitio 2 -4.0000 2 -2.0000 1 0.0000 1 0.0000 1
4 030 TAUbioinfounit 3 -6.0000 4 -2.0000 1 0.0000 1 0.0000 1
5 444 Lenregular 5 -10.0000 5 -2.0000 1 0.0000 1 0.0000 1
6 441 WeFoldMix 6 -12.0000 6 -2.0000 1 0.0000 1 0.0000 1
7 251 laufercenter_meta 8 -16.0000 7 -2.0000 1 0.0000 1 0.0000 1
8 155 Graham 9 -18.0000 8 -2.0000 1 0.0000 1 0.0000 1
9 311 Laufer 9 -18.0000 8 -2.0000 1 0.0000 1 0.0000 1
10 215 ppfld 9 -18.0000 8 -2.0000 1 0.0000 1 0.0000 1
11 051 thyzju 9 -18.0000 8 -2.0000 1 0.0000 1 0.0000 1
12 085 Anthropic_Dreams 10 -20.0000 12 -2.0000 1 0.0000 1 0.0000 1
13 260 wfFUGT 10 -20.0000 12 -2.0000 1 0.0000 1 0.0000 1
14 341 Contenders 10 -20.0000 12 -2.0000 1 0.0000 1 0.0000 1
15 068 SIAT1 11 -22.0000 15 -2.0000 1 0.0000 1 0.0000 1
16 165 Void_Crushers 11 -22.0000 15 -2.0000 1 0.0000 1 0.0000 1
17 149 wfFUIK 11 -22.0000 15 -2.0000 1 0.0000 1 0.0000 1
18 068 FOLDIT 11 -22.0000 15 -2.0000 1 0.0000 1 0.0000 1
19 131 BioNanopore 13 -26.0000 19 -2.0000 1 0.0000 1 0.0000 1
20 466 Taylor 13 -26.0000 19 -2.0000 1 0.0000 1 0.0000 1
21 448 KIAS-Gdansk 14 -28.0000 21 -2.0000 1 0.0000 1 0.0000 1
22 287 wfCPUNK 16 -32.0000 22 -2.0000 1 0.0000 1 0.0000 1
23 179 Lenserver 17 -34.0000 23 -2.0000 1 0.0000 1 0.0000 1
24 462 confuzz3d 18 -36.0000 24 -2.0000 1 0.0000 1 0.0000 1
25 098 confuzzGS 20 -40.0000 25 -2.0000 1 0.0000 1 0.0000 1
26 358 RaptorX-Roll 20 -40.0000 25 -2.0000 1 0.0000 1 0.0000 1
27 420 Handl 22 -44.0000 27 -2.0000 1 0.0000 1 0.0000 1
28 486 RaptorX 25 -50.0000 28 -2.0000 1 0.0000 1 0.0000 1
29 028 YASARA 27 -54.0000 29 -2.0000 1 0.0000 1 0.0000 1
30 246 MeilerLab 28 -56.0000 30 -2.0000 1 0.0000 1 0.0000 1
31 152 Cornell-Gdansk 30 -60.0000 31 -2.0000 1 0.0000 1 0.0000 1
32 356 sysimm 31 -62.0000 32 -2.0000 1 0.0000 1 0.0000 1
33 265 MicroSumaLab 31 -62.0000 32 -2.0000 1 0.0000 1 0.0000 1
34 437 sumalab 32 -64.0000 34 -2.0000 1 0.0000 1 0.0000 1
35 317 SHORTLE 35 -70.0000 35 -2.0000 1 0.0000 1 0.0000 1
36 494 GSmetaserver 35 -70.0000 35 -2.0000 1 0.0000 1 0.0000 1
37 482 biouv 37 -74.0000 37 -2.0000 1 0.0000 1 0.0000 1
38 024 POEMhome 38 -76.0000 38 -2.0000 1 0.0000 1 0.0000 1
39 286 Mufold-MD 40 -80.0000 39 -2.0000 1 0.0000 1 0.0000 1
40 435 ossia 45 -90.0000 40 -2.0000 1 0.0000 1 0.0000 1
41 333 MUFOLD-Server 45 -90.0000 40 -2.0000 1 0.0000 1 0.0000 1
42 116 HOMER 46 -92.0000 42 -2.0000 1 0.0000 1 0.0000 1
43 088 panther 46 -92.0000 42 -2.0000 1 0.0000 1 0.0000 1
44 315 keasar 47 -94.0000 44 -2.0000 1 0.0000 1 0.0000 1
45 457 PROTAGORAS 47 -94.0000 44 -2.0000 1 0.0000 1 0.0000 1
46 029 shisen 48 -96.0000 46 -2.0000 1 0.0000 1 0.0000 1
47 433 Sun_Tsinghua 50 -100.0000 47 -2.0000 1 0.0000 1 0.0000 1
48 172 Zhang-IRU 50 -100.0000 47 -2.0000 1 0.0000 1 0.0000 1
49 479 Boniecki_LoCoGRef 50 -100.0000 47 -2.0000 1 0.0000 1 0.0000 1
50 077 FLOUDAS 51 -102.0000 50 -2.0000 1 0.0000 1 0.0000 1
51 464 UGACSBL 53 -106.0000 51 -2.0000 1 0.0000 1 0.0000 1
52 300 PAX 53 -106.0000 51 -2.0000 1 0.0000 1 0.0000 1
53 344 Jones-UCL 55 -110.0000 53 -2.0000 1 0.0000 1 0.0000 1
54 121 STRINGS 57 -114.0000 54 -2.0000 1 0.0000 1 0.0000 1
55 221 Atome2_CBS 58 -116.0000 55 -2.0000 1 0.0000 1 0.0000 1
56 275 FFAS03hj 58 -116.0000 55 -2.0000 1 0.0000 1 0.0000 1
57 040 FFAS03 58 -116.0000 55 -2.0000 1 0.0000 1 0.0000 1
58 381 SAM-T06-server 59 -118.0000 58 -2.0000 1 0.0000 1 0.0000 1
59 204 FFAS03mt 59 -118.0000 58 -2.0000 1 0.0000 1 0.0000 1
60 122 RaptorX-ZY 59 -118.0000 58 -2.0000 1 0.0000 1 0.0000 1
61 113 SAM-T08-server 60 -120.0000 61 -2.0000 1 0.0000 1 0.0000 1
62 302 3D-JIGSAW_V5 61 -122.0000 62 -2.0000 1 0.0000 1 0.0000 1
63 298 MidwayFolding 61 -122.0000 62 -2.0000 1 0.0000 1 0.0000 1
64 439 MATRIX 61 -122.0000 62 -2.0000 1 0.0000 1 0.0000 1
65 198 chuo-fams-server 62 -124.0000 65 -2.0000 1 0.0000 1 0.0000 1
66 238 chuo-repack-server 62 -124.0000 65 -2.0000 1 0.0000 1 0.0000 1
67 101 WeFold 65 -130.0000 67 -2.0000 1 0.0000 1 0.0000 1
68 178 Bilab 65 -130.0000 67 -2.0000 1 0.0000 1 0.0000 1
69 471 chuo-binding-sites 66 -132.0000 69 -2.0000 1 0.0000 1 0.0000 1
70 112 samcha-server 67 -134.0000 70 -2.0000 1 0.0000 1 0.0000 1
71 201 TsaiLab 67 -134.0000 70 -2.0000 1 0.0000 1 0.0000 1
72 254 CaspIta 68 -136.0000 72 -2.0000 1 0.0000 1 0.0000 1
73 259 ALAdeGAP 68 -136.0000 72 -2.0000 1 0.0000 1 0.0000 1
74 164 4_BODY_POTENTIALS 68 -136.0000 72 -2.0000 1 0.0000 1 0.0000 1
75 405 Mufold2 69 -138.0000 75 -2.0000 1 0.0000 1 0.0000 1
76 148 MUFold_CRF 70 -140.0000 76 -2.0000 1 0.0000 1 0.0000 1
77 375 FFAS03c 70 -140.0000 76 -2.0000 1 0.0000 1 0.0000 1
78 476 AOBA-server 70 -140.0000 76 -2.0000 1 0.0000 1 0.0000 1
79 370 HHpred-thread 70 -140.0000 76 -2.0000 1 0.0000 1 0.0000 1
80 376 Litonghua 70 -140.0000 76 -2.0000 1 0.0000 1 0.0000 1
81 285 McGuffin 70 -140.0000 76 -2.0000 1 0.0000 1 0.0000 1
82 141 Bates_BMM 70 -140.0000 76 -2.0000 1 0.0000 1 0.0000 1
83 473 Seok 71 -142.0000 83 -2.0000 1 0.0000 1 0.0000 1
84 428 PconsQ 71 -142.0000 83 -2.0000 1 0.0000 1 0.0000 1
85 043 sessions 71 -142.0000 83 -2.0000 1 0.0000 1 0.0000 1
86 117 MBBS 71 -142.0000 83 -2.0000 1 0.0000 1 0.0000 1
87 124 PconsD 71 -142.0000 83 -2.0000 1 0.0000 1 0.0000 1
88 267 Pcons 71 -142.0000 83 -2.0000 1 0.0000 1 0.0000 1
89 477 BAKER 71 -142.0000 83 -2.0000 1 0.0000 1 0.0000 1
90 281 Ariadne 71 -142.0000 83 -2.0000 1 0.0000 1 0.0000 1
91 292 Pcons-net 71 -142.0000 83 -2.0000 1 0.0000 1 0.0000 1
92 103 PconsM 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
93 350 Kloczkowski_Lab 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
94 026 ProQ2clust 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
95 027 LEEcon 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
96 493 LEEMO 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
97 492 RBO-i-MBS 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
98 490 Zhang_Refinement 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
99 035 Zhang-Server 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
100 107 RBO-i-MBS-BB 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
101 108 PMS 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
102 114 QUARK 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
103 125 MULTICOM-REFINE 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
104 130 Pcomb 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
105 463 Jiang_Fold 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
106 458 Sternberg 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
107 456 FALCON-TOPO-X 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
108 453 KnowMIN 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
109 163 hGen3D 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
110 434 chuo-fams-consensus 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
111 175 FRESS_server 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
112 430 HHpredA 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
113 190 RBO-MBS-BB 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
114 195 RBO-MBS 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
115 197 Mufold 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
116 222 MULTICOM-CONSTRUCT 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
117 223 HHpredAQ 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
118 237 zhang 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
119 424 MULTICOM-NOVEL 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
120 247 BhageerathH 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
121 419 Jiang_Server 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
122 258 Jiang_Threader 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
123 413 ZHOU-SPARKS-X 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
124 261 Seok-server 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
125 411 FALCON-TOPO 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
126 273 IntFOLD2 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
127 277 Bilab-ENABLE 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
128 280 ProQ2clust2 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
129 282 Jiang_Human 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
130 388 ProQ2 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
131 294 chuo-repack 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
132 498 IntFOLD 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
133 301 LEE 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
134 373 Kim_Kihara 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
135 330 BAKER-ROSETTASERVER 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
136 335 TASSER-VMT 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
137 365 chuo-fams 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
138 343 NewSerf 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
139 045 Zhang_Ab_Initio 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
140 489 MULTICOM 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
141 488 chunk-TASSER 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
142 481 Chicken_George 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
143 072 Distill 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
144 079 TASSER 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
145 081 MULTICOM-CLUSTER 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
146 475 CNIO 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
147 087 Distill_roll 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
148 474 WAC_LABS 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
149 348 Phyre2_A 72 -144.0000 92 -2.0000 1 0.0000 1 0.0000 1
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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