13th Community Wide Experiment on the
Critical Assessment of Techniques for Protein Structure Prediction
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TS Analysis (data assisted targets) : Group performance based on combined z-scores analysis
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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 zscores 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 zscores on the reduced dataset;
4. Assign z-scores below the penalty threshold (either -2.0 or 0.0) to the value of this threshold.
Analysis on the models designated as "1"
Analysis on the models with the best scores
[Ss] SAXS targets
[Xx] X-link targets
[Nn] NMR targets
[Aa] SANS targets
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)
(>0.0)
Rank SUM Zscore
(>0.0)
AVG Zscore
(>0.0)
Rank AVG Zscore
(>0.0)
1
196
Grudinin
23
25.7938
2
0.5997
7
15.2116
1
0.6614
6
2
000
3Dbio
12
1.5362
5
0.9614
3
13.7047
2
1.1421
1
3
208
KIAS-Gdansk
26
31.1427
1
0.5055
8
13.5818
3
0.5224
8
4
135
SBROD
9
-6.9519
7
1.0053
2
9.0481
4
1.0053
3
5
105
RBO-Human
27
10.0907
3
-0.3670
10
7.7168
5
0.2858
9
6
359
3DCNN
9
-8.5049
8
0.8328
4
7.4951
6
0.8328
4
7
207
SBROD-plus
5
-18.5062
11
1.0988
1
5.4938
7
1.0988
2
8
364
SBROD-server
5
-20.5567
12
0.6887
5
3.4433
8
0.6887
5
9
117
Jones-UCL
8
-16.9087
10
0.1364
9
2.1001
9
0.2625
10
10
271
kozakov-vajda
3
-26.1149
14
0.6284
6
1.8851
10
0.6284
7
11
492
wf-BAKER-UNRES
26
3.5963
4
-0.5540
11
0.9136
11
0.0351
11
12
288
UNRES
26
-1.2892
6
-0.7419
12
0.9080
12
0.0349
12
13
122
Forbidden
21
-9.6615
9
-0.8410
14
0.5377
13
0.0256
13
14
329
D-Haven
7
-25.6654
13
-0.8093
13
0.1439
14
0.0206
14
Protein Structure Prediction Center
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US National Institute of General Medical Sciences (NIH/NIGMS)
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