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)
1 034 MURZIN 10 8.4260 1 0.8426 2 11.4750 1 1.1475 1
2 052 STERNBERG 19 7.0010 2 0.3685 15 10.6230 2 0.5591 9
3 037 ROST 16 4.9200 5 0.3075 21 8.4570 3 0.5286 14
4 049 SIPPL 8 5.9760 4 0.7470 3 8.1770 4 1.0221 3
5 030 LENGAUER 14 4.5020 6 0.3216 19 7.6440 5 0.5460 11
6 015 EISENBERG 15 3.6420 12 0.2428 23 7.5490 6 0.5033 17
7 026 JONES 14 6.1490 3 0.4392 11 7.3190 7 0.5228 15
8 022 HAUSSLER 11 4.3190 7 0.3926 13 6.6830 8 0.6075 8
9 057 VALENCIA 12 3.9830 9 0.3319 18 6.5480 9 0.5457 12
10 051 SOLOVYEV 14 4.0490 8 0.2892 22 6.0050 10 0.4289 21
11 001 ABAGYAN 20 1.4640 17 0.0732 27 5.5420 11 0.2771 30
12 032 MOULT 10 3.8140 10 0.3814 14 5.4970 12 0.5497 10
13 002 ALEXANDROV-ZIMMER 10 1.9750 15 0.1975 24 5.1710 13 0.5171 16
14 003 AMGEN 14 0.7440 23 0.0531 28 4.7300 14 0.3379 26
15 011 COHEN 6 3.6670 11 0.6112 7 4.5010 15 0.7502 4
16 024 HUBBARD 13 -1.2220 34 -0.0940 29 4.4660 16 0.3435 25
17 055 TORDA 15 -2.5480 37 -0.1699 31 4.1720 17 0.2781 29
18 012 COULSON 15 -4.5600 42 -0.3040 34 3.4740 18 0.2316 31
19 010 BRYANT 12 -3.6870 41 -0.3073 35 2.7130 19 0.2261 32
20 054 TAYLOR 12 -6.5320 45 -0.5443 40 2.6400 20 0.2200 33
21 035 OSGUTHORPE 2 2.1570 13 1.0785 1 2.1570 21 1.0785 2
22 038 SALI 3 2.1420 14 0.7140 4 2.1420 22 0.7140 5
23 033 MUNSON 4 1.2810 18 0.3202 20 1.9800 23 0.4950 18
24 027 KIM 6 0.8280 21 0.1380 25 1.7800 24 0.2967 28
25 060 WOLYNES 4 1.7730 16 0.4432 10 1.7730 25 0.4432 20
26 013 DIXON 2 1.2370 19 0.6185 6 1.2370 26 0.6185 7
27 059 WEBER 4 0.4450 28 0.1113 26 1.2340 27 0.3085 27
28 005 BAKER 9 -2.7020 38 -0.3002 33 1.1140 28 0.1238 39
29 019 FORSTER 2 0.9330 20 0.4665 9 0.9330 29 0.4665 19
30 014 EGNER 2 0.8140 22 0.4070 12 0.8140 30 0.4070 22
31 028 LATHROP 8 -6.1580 44 -0.7698 42 0.7700 31 0.0963 41
32 053 SUTCLIFFE 2 0.7280 24 0.3640 16 0.7280 32 0.3640 23
33 056 UWE 5 -1.4580 35 -0.2916 32 0.7220 33 0.1444 36
34 039 SAQI 2 0.6980 25 0.3490 17 0.6980 34 0.3490 24
35 017 FIDELIS 1 0.6730 26 0.6730 5 0.6730 35 0.6730 6
36 009 BRUCCOLERI 3 -0.9530 33 -0.3177 36 0.5580 36 0.1860 34
37 058 VRIEND 1 0.5360 27 0.5360 8 0.5360 37 0.5360 13
38 061 YHS 4 -0.5340 30 -0.1335 30 0.5140 38 0.1285 38
39 031 MARSHALL 2 -0.6710 31 -0.3355 37 0.3660 39 0.1830 35
40 004 AVBELJ 3 -3.3840 39 -1.1280 44 0.3350 40 0.1117 40
41 020 GODZIK 6 -3.4840 40 -0.5807 41 0.2920 41 0.0487 42
42 029 LEE 2 -0.8290 32 -0.4145 38 0.2740 42 0.1370 37
43 006 BARTON 14 -15.7550 47 -1.1254 43 0.0520 43 0.0037 43
44 036 ROSE 1 -0.5120 29 -0.5120 39 0.0000 44 0.0000 44
45 016 ELOFSSON 16 -19.1170 48 -1.1948 45 0.0000 44 0.0000 44
46 023 HONIG 7 -9.3470 46 -1.3353 46 0.0000 44 0.0000 44
47 018 FINKELSTEIN 3 -4.6620 43 -1.5540 47 0.0000 44 0.0000 44
48 050 SMITH 1 -2.0000 36 -2.0000 48 0.0000 44 0.0000 44
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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