CASP1 - CASP9
(* results recalculated with new /updated structure comparison programs in 2019)
`
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 Jones 16 4.5680 1 0.2855 7 8.4780 1 0.5299 6
2 014 Matsuo 16 0.9150 6 0.0572 11 5.6180 2 0.3511 12
3 009 Hubbard 6 4.4110 2 0.7352 2 4.7380 3 0.7897 2
4 022 Sippl 12 -3.3590 26 -0.2799 14 4.3340 4 0.3612 10
5 026 Weber-Harrison 5 2.3000 3 0.4600 4 2.5840 5 0.5168 7
6 017 OML 3 0.3020 9 0.1007 9 2.3020 6 0.7673 3
7 020 Sali 3 1.7380 4 0.5793 3 2.1180 7 0.7060 4
8 007 Covell 1 1.4680 5 1.4680 1 1.4680 8 1.4680 1
9 001 Abagyan 6 -2.4580 24 -0.4097 17 1.2370 9 0.2062 13
10 016 Moult 3 0.8710 7 0.2903 6 1.1980 10 0.3993 9
11 024 Vinals 2 -0.6600 15 -0.3300 16 1.1840 11 0.5920 5
12 019 Pedersen 2 -0.6400 14 -0.3200 15 0.7070 12 0.3535 11
13 015 Mosenkis 1 0.4160 8 0.4160 5 0.4160 13 0.4160 8
14 025 Vriend 3 0.1840 11 0.0613 10 0.3930 14 0.1310 16
15 023 Vihinen 2 -0.1570 13 -0.0785 13 0.3350 15 0.1675 14
16 012 Koehl 3 -1.8730 21 -0.6243 19 0.3350 15 0.1117 18
17 003 BIOSYM 2 -0.9130 17 -0.4565 18 0.3000 17 0.1500 15
18 008 Galaktionov-Marshall 2 0.2600 10 0.1300 8 0.2600 18 0.1300 17
19 021 Saqi 1 0.0370 12 0.0370 12 0.0370 19 0.0370 19
20 005 Bryant 8 -5.2600 27 -0.6575 20 0.0000 20 0.0000 20
21 027 Wilmanns 3 -1.9970 22 -0.6657 21 0.0000 20 0.0000 20
22 006 Clarke 2 -1.3640 20 -0.6820 22 0.0000 20 0.0000 20
23 013 Lee 1 -0.7070 16 -0.7070 23 0.0000 20 0.0000 20
24 002 Barton 1 -1.0130 18 -1.0130 24 0.0000 20 0.0000 20
25 004 Bolger 3 -3.3140 25 -1.1047 25 0.0000 20 0.0000 20
26 018 Osguthorpe 1 -1.2790 19 -1.2790 26 0.0000 20 0.0000 20
27 011 Kobayashi 1 -2.0000 23 -2.0000 27 0.0000 20 0.0000 20
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.
Protein Structure Prediction Center
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