14th Community Wide Experiment on the
Critical Assessment of Techniques for Protein Structure Prediction
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TS Analysis (refienement targets) : Group performance based on combined z-scores
Results Home Table Browser Estimate of Model Accuracy Results RR Assessment Results
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.
  GDT_TS based   Assessors' formula
    Models:
    • Analysis on the models designated as "1"
    • Analysis on the models with the best scores

    • Targets:
    • All targets
    • Regular targets
    • Extended time-frame targets

    • TBM easy
    • TBM hard
    • TBM/FM
    • FM
The ranking of the groups is based on the analysis of zscores for GDT_TS.
    #     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)
1 335 FEIG 44 33.8049 2 0.7683 2 35.2441 1 0.8010 1
2 013 FEIG-S 44 34.0920 1 0.7748 1 34.9871 2 0.7952 2
3 473 BAKER 44 24.8950 4 0.5658 4 32.0784 3 0.7291 3
4 323 DellaCorteLab 44 25.3405 3 0.5759 3 25.5121 4 0.5798 4
5 999 ---STARTING-MODEL--- 44 24.1972 5 0.5499 5 24.6528 5 0.5603 5
6 403 BAKER-experimental 44 5.8909 13 0.1339 19 23.7376 6 0.5395 7
7 236 DeepMUSICS 44 20.7449 6 0.4715 8 21.4627 7 0.4878 9
8 253 Bhattacharya 44 20.1427 7 0.4578 9 20.9159 8 0.4754 10
9 149 Bhattacharya-Server 44 19.8619 8 0.4514 10 20.6578 9 0.4695 11
10 071 Kiharalab 44 9.4455 12 0.2147 18 18.5737 10 0.4221 13
11 100 AIR 44 16.6137 9 0.3776 12 17.9345 11 0.4076 15
12 294 JLU_Comp_Struct_Bio 31 -9.1224 20 0.5444 6 16.9672 12 0.5473 6
13 360 UNRES 42 11.3944 11 0.3665 14 16.7867 13 0.3997 16
14 220 McGuffin 37 1.5324 14 0.4198 11 16.4612 14 0.4449 12
15 470 PerillaGroup 44 12.5141 10 0.2844 16 15.7922 15 0.3589 19
16 070 Seok-server 37 -0.1070 15 0.3755 13 15.2839 16 0.4131 14
17 075 MULTICOM-CLUSTER 30 -13.5244 22 0.4825 7 14.7872 17 0.4929 8
18 349 Spider 36 -4.6798 17 0.3145 15 14.3063 18 0.3974 17
19 394 Kiharalab_Refine 44 -1.8841 16 -0.0428 22 13.8675 19 0.3152 20
20 193 Seok 37 -4.7458 18 0.2501 17 13.4154 20 0.3626 18
21 341 Risoluto 44 -14.6968 23 -0.3340 24 13.1957 21 0.2999 21
22 003 SHORTLE 44 -41.0634 29 -0.9333 31 12.8364 22 0.2917 22
23 233 Frustration_Refine 40 -6.7100 19 0.0323 21 9.2749 23 0.2319 25
24 270 Beta 34 -35.4810 27 -0.4553 25 8.7382 24 0.2570 23
25 423 Seminoles 41 -31.8470 26 -0.6304 26 8.5760 25 0.2092 26
26 018 UNRES-template 44 -11.7077 21 -0.2661 23 7.8377 26 0.1781 27
27 434 GLoSA 32 -22.4822 24 0.0474 20 7.7991 27 0.2437 24
28 340 Pharmulator 44 -30.7712 25 -0.6993 28 7.4497 28 0.1693 28
29 081 MUFOLD 44 -36.5884 28 -0.8316 29 5.0600 29 0.1150 30
30 291 Protein-blacksmith 44 -61.1672 32 -1.3902 34 2.4783 30 0.0563 31
31 304 Jones-UCL 19 -62.4972 33 -0.6577 27 2.3957 31 0.1261 29
32 192 AILON 44 -44.4560 30 -1.0104 32 2.1867 32 0.0497 32
33 131 PerezLab_Gators 33 -77.6181 34 -1.6854 36 0.8554 33 0.0259 33
34 389 AWSEM_PCA 43 -49.6340 31 -1.1078 33 0.4910 34 0.0114 35
35 352 laufer_ros 26 -79.2883 35 -1.6649 35 0.4400 35 0.0169 34
36 080 FOLDYNE 6 -81.5350 36 -0.9225 30 0.0037 36 0.0006 36
37 342 CUTSP 7 -86.1473 37 -1.7353 37 0.0000 37 0.0000 37
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