13th 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
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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:
TBM easy
TBM hard
TBM/FM
FM
The ranking of the groups is performed on the basis of analysis of combined zscores according to the following formula used by the assessors: (0.46*
RMS_CA
+ 0.2*
SG
+ 0.17*
GDT_HA
+ 0.15*
QCS
+ 0.02*
Molprb-Score
)
#
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
086
BAKER
29
20.6386
2
0.7117
2
23.6473
1
0.8154
1
2
356
FEIGLAB
29
21.3158
1
0.7350
1
22.9048
2
0.7898
2
3
425
BAKER-AUTOREFINE
29
18.1908
3
0.6273
3
21.3874
3
0.7375
3
4
156
Seok-server
29
15.0090
4
0.5176
4
17.8233
4
0.6146
4
5
068
Seok
29
7.9530
10
0.2742
11
14.6388
5
0.5048
5
6
117
Jones-UCL
29
9.5902
7
0.3307
8
13.5831
6
0.4684
8
7
312
MUFold_server
27
-2.4648
16
0.0569
15
12.6791
7
0.4696
7
8
174
Zhang-Refinement
27
6.8539
11
0.4020
5
11.8047
8
0.4372
9
9
344
Kiharalab
29
9.9016
6
0.3414
7
11.7274
9
0.4044
11
10
390
Bhattacharya
29
10.7601
5
0.3710
6
11.7046
10
0.4036
12
11
217
Boniecki_pred
28
5.4682
13
0.2667
12
11.4498
11
0.4089
10
12
460
McGuffin
29
9.3605
9
0.3228
10
10.9511
12
0.3776
13
13
102
Bhattacharya-Server
29
9.4762
8
0.3268
9
10.5298
13
0.3631
14
14
190
DC_refine
29
6.4821
12
0.2235
13
9.7246
14
0.3353
15
15
004
YASARA
28
3.9078
14
0.2110
14
9.2504
15
0.3304
16
16
112
AWSEM
27
-6.8054
18
-0.1039
17
7.9501
16
0.2944
17
17
433
AIR
29
-5.1335
17
-0.1770
20
7.4131
17
0.2556
18
18
208
KIAS-Gdansk
29
-9.1654
19
-0.3160
22
7.2979
18
0.2517
19
19
328
Kiharalab_RF2
29
-12.9075
21
-0.4451
23
6.9539
19
0.2398
21
20
270
Huang
29
0.0207
15
0.0007
16
6.5223
20
0.2249
22
21
358
Spider
25
-11.6290
20
-0.1452
19
5.5906
21
0.2236
23
22
457
Wallner
19
-22.0696
23
-0.1089
18
4.6110
22
0.2427
20
23
431
Laufer
29
-36.4095
28
-1.2555
31
4.4866
23
0.1547
24
24
195
Seminoles
26
-33.8549
26
-1.0713
27
2.9144
24
0.1121
25
25
281
SHORTLE
29
-32.4475
25
-1.1189
28
2.8695
25
0.0989
26
26
196
Grudinin
29
-16.3150
22
-0.5626
24
2.2291
26
0.0769
28
27
288
UNRES
29
-36.0529
27
-1.2432
30
2.1900
27
0.0755
29
28
359
3DCNN
23
-25.1571
24
-0.5720
25
1.7149
28
0.0746
30
29
492
wf-BAKER-UNRES
25
-36.6215
29
-1.1449
29
1.4905
29
0.0596
31
30
197
MESHI
3
-52.6615
30
-0.2205
21
1.4381
30
0.4794
6
31
329
D-Haven
5
-52.7562
31
-0.9512
26
0.4610
31
0.0922
27
32
122
Forbidden
1
-58.0000
32
-2.0000
32
0.0000
32
0.0000
32
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