14th Community Wide Experiment on the
Critical Assessment of Techniques for Protein Structure Prediction
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EMA Analysis
Results Home Table Browser Estimate of Model Accuracy Results RR Assessment Results
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  Correlation   Differences (predicted vs observed)   Difference from the best   AUC/MCC
 
  Absolute differences   Percentage
 
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All results are for stage 2 EMA models (evaluation of the top 150 server TS models).
For each score, only the targets with the best model scoring above the threshold (GDT_TS, SG: 40.0; LDDT, CAD(AA): 0.4) were considered.
              GDT_TS     LDDT     CAD(AA)     SG
    #     Gr.Name     Gr.Model     No.Targets     Score     No.Targets     Score     No.Targets     Score     No.Targets     Score
1 Seder2020 QA005_2 1 5.115 1 4.020 1 2.166 1 0.000
2 MULTICOM-CONSTRUCT QA198_2 59 7.356 66 5.436 67 2.923 66 7.006
3 MULTICOM-AI QA275_2 59 7.924 66 6.748 67 3.489 66 8.070
4 MESHI QA032_2 58 7.931 64 5.287 65 3.050 64 7.165
5 MULTICOM-CLUSTER QA075_2 59 8.023 66 6.893 67 3.713 66 8.052
6 Seder2020hard QA428_2 1 8.120 1 2.070 1 0.894 1 2.046
7 MUfoldQA_G QA446_2 59 8.201 66 7.070 67 4.630 66 9.124
8 MESHI_consensus QA214_2 59 8.404 65 6.147 66 3.459 65 7.513
9 BAKER-ROSETTASERVER QA209_2 59 8.407 66 4.112 67 2.300 66 7.312
10 BAKER-experimental QA403_2 59 8.453 66 4.885 67 2.480 66 7.987
11 ModFOLD8 QA167_2 59 8.497 66 6.985 67 3.848 66 9.087
12 Bhattacharya-Server QA149_2 59 8.512 66 6.660 67 4.074 66 8.651
13 MULTICOM-HYBRID QA187_2 59 8.606 66 6.686 67 3.651 66 8.312
14 Yang_TBM QA460_2 59 8.795 66 7.108 67 4.103 66 8.476
15 Wallner QA379_2 59 8.931 66 5.914 67 3.624 66 9.638
16 DAVIS-EMAconsensus QA433_2 59 9.009 66 7.117 67 4.510 66 9.565
17 EMAP_CHAE QA216_2 59 9.166 66 6.132 67 3.516 66 7.757
18 ModFOLDclust2 QA035_2 59 9.401 66 7.438 67 4.648 66 9.708
19 VoroCNN-GDT QA153_2 59 9.690 66 4.708 67 2.407 66 8.002
20 GraphQA QA210_2 56 9.830 61 8.543 62 4.470 61 10.067
21 Yang-Server QA140_2 59 9.851 66 7.890 67 4.445 66 9.127
22 ModFOLD8_rank QA120_2 59 10.238 66 8.057 67 4.390 66 9.689
23 MULTICOM-DEEP QA252_2 59 10.341 66 6.575 67 3.456 66 8.956
24 3DCNN_prof QA074_2 59 10.447 66 7.465 67 4.218 66 10.212
25 P3De QA257_2 59 10.617 66 6.933 67 4.021 66 11.419
26 ProQ3D QA339_2 59 10.723 66 6.279 67 3.680 66 11.204
27 VoroCNN-GEMME QA406_2 59 10.741 66 5.322 67 2.751 66 9.122
28 UOSHAN QA409_2 59 10.750 66 8.528 67 5.298 66 10.623
29 tFold-IDT QA351_2 59 10.783 66 5.227 67 3.019 66 9.318
30 tFold-CaT QA183_2 59 10.825 66 6.814 67 3.860 66 10.051
31 SBROD QA085_2 59 10.838 66 8.892 67 4.668 66 9.641
32 LamoureuxLab QA066_2 58 11.136 65 6.453 66 3.979 65 9.699
33 MESHI_server QA211_2 59 11.412 65 7.446 66 4.203 65 10.057
34 ProQ2 QA067_2 57 11.436 64 7.194 65 4.704 64 10.915
35 EDN QA203_2 58 11.477 65 6.222 66 3.163 65 9.094
36 VoroCNN QA313_2 59 11.571 66 5.803 67 2.989 66 9.251
37 ShanghaiProtein QA398_2 30 11.620 36 5.591 37 2.810 36 9.448
38 ModFOLD8_cor QA265_2 59 11.660 66 9.568 67 6.233 66 14.572
39 DeepPotential QA024_2 58 11.763 65 8.514 66 5.953 65 10.812
40 Ornate QA346_2 59 12.227 66 6.056 67 3.293 66 10.625
41 MULTICOM-DIST QA319_2 59 12.394 66 7.667 67 4.163 66 11.354
42 VoroMQA-dark QA002_2 59 12.419 66 6.241 67 3.694 66 10.326
43 Bhattacharya-QDeep QA429_2 59 12.466 66 8.620 67 4.584 66 11.416
44 VoroMQA-light QA102_2 59 12.757 66 6.956 67 4.207 66 11.591
45 CMH1971 QA171_2 59 12.800 66 7.612 67 4.444 66 11.498
46 tFold QA238_2 59 12.848 66 16.585 67 6.337 66 14.195
47 VoroMQA-stout QA000_2 59 12.956 66 6.834 67 3.958 66 11.568
48 MASS QA317_2 59 13.005 66 9.191 67 5.667 66 13.840
49 graph-sh QA247_2 59 13.089 66 7.372 67 4.244 66 10.480
50 MUFOLD QA081_2 59 13.167 66 8.069 67 4.602 66 12.171
51 QMEANDisCo QA280_2 59 13.244 66 8.482 67 4.869 66 13.564
52 KUHHAN QA104_2 59 13.538 66 10.852 67 6.559 66 13.985
53 MESHI_EMA QA112_2 59 13.913 65 10.434 66 6.312 65 14.260
54 angleQA QA391_2 59 13.944 66 10.092 67 5.634 66 11.514
55 CAO-QA1 QA217_2 59 14.394 65 9.922 66 5.483 65 13.594
56 SASHAN QA144_2 59 14.462 66 10.560 67 6.428 66 13.363
57 Kiharalab_Z_Server QA364_2 59 14.732 66 11.573 67 6.885 66 17.400
58 Kiharalab QA071_2 59 14.732 66 11.661 67 6.925 66 17.583
59 ropius0 QA254_2 59 14.857 66 11.064 67 6.140 66 14.141
60 ProQ4 QA309_2 53 14.922 60 9.537 61 5.506 60 12.632
61 Bhattacharya-QDeepU QA199_2 59 14.975 66 11.398 67 6.319 66 14.900
62 DIZ QA325_2 59 15.159 66 9.300 67 5.321 66 13.690
63 Destini QA101_2 59 15.366 66 10.420 67 6.274 66 14.363
64 RaptorX-QA QA073_2 59 15.444 66 11.017 67 6.791 66 14.970
65 bioinsilico_sbi_PAIR QA185_2 59 16.627 66 14.176 67 8.113 66 18.923
66 bioinsilico_sbi QA196_2 59 17.441 66 13.070 67 7.330 66 18.136
67 CAO-SERVER QA305_2 59 17.568 65 14.957 66 8.866 65 20.028
68 LAW QA138_2 59 17.722 66 13.918 67 8.513 66 18.359
69 Anonimous QA082_2 8 18.176 9 9.006 9 5.675 9 15.127
70 MUfoldQA_X QA248_2 59 18.794 66 16.077 67 9.506 66 22.241
71 DeepML QA044_2 4 18.925 4 17.227 4 10.963 4 23.653
72 Jones-UCL QA304_2 59 19.714 66 17.440 67 9.196 66 19.423
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