16th Community Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction
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#
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
163
MultiFOLD2
8
6.1737
1
0.7717
1
6.7069
1
0.8384
2
2
456
Yang-Multimer
8
4.0649
2
0.5081
3
6.3674
2
0.7959
3
3
145
colabfold_baseline
7
2.9593
3
0.7085
2
5.9823
3
0.8546
1
4
269
CSSB_server
7
0.5265
9
0.3609
4
4.9253
4
0.7036
4
5
052
Yang-Server
8
1.9972
5
0.2497
8
4.7697
5
0.5962
5
6
079
MRAFold
8
0.5708
8
0.0714
12
4.3121
6
0.5390
7
7
388
DeepFold-server
8
2.1541
4
0.2693
7
4.3005
7
0.5376
8
8
208
falcon2
7
0.4563
10
0.3509
5
4.1701
8
0.5957
6
9
312
GuijunLab-Assembly
8
-0.8085
15
-0.1011
18
3.7765
9
0.4721
9
10
148
Guijunlab-Complex
8
0.4225
11
0.0528
14
3.6550
10
0.4569
11
11
198
colabfold
7
0.2040
12
0.3149
6
3.2377
11
0.4625
10
12
425
MULTICOM_GATE
8
1.7180
6
0.2147
10
3.2098
12
0.4012
13
13
319
MULTICOM_LLM
8
-0.7338
14
-0.0917
17
3.1688
13
0.3961
14
14
375
milliseconds
8
-1.8992
20
-0.2374
23
3.0360
14
0.3795
15
15
331
MULTICOM_AI
8
-1.1453
17
-0.1432
20
2.8718
15
0.3590
16
16
267
kiharalab_server
8
0.8152
7
0.1019
11
2.5326
16
0.3166
17
17
028
NKRNA-s
5
-5.7681
26
0.0464
15
2.2523
17
0.4505
12
18
450
OpenComplex_Server
8
-4.2028
23
-0.5253
28
2.2410
18
0.2801
18
19
147
Zheng-Multimer
8
-1.5305
19
-0.1913
22
2.2354
19
0.2794
19
20
019
Zheng-Server
8
-0.9128
16
-0.1141
19
2.2328
20
0.2791
20
21
110
MIEnsembles-Server
8
-1.3649
18
-0.1706
21
2.2001
21
0.2750
21
22
314
GuijunLab-PAthreader
8
-0.3934
13
-0.0492
16
2.0076
22
0.2510
22
23
122
MQA_server
7
-4.9942
24
-0.4277
27
1.5826
23
0.2261
24
24
284
Unicorn
8
-5.5172
25
-0.6897
29
1.4026
24
0.1753
26
25
475
ptq
8
-2.5547
22
-0.3193
26
1.3931
25
0.1741
27
26
304
AF3-server
8
-2.3763
21
-0.2970
25
1.2572
26
0.1572
28
27
423
ShanghaiTech-server
5
-7.3786
28
-0.2757
24
1.1157
27
0.2231
25
28
075
GHZ-ISM
8
-5.8768
27
-0.7346
30
1.0430
28
0.1304
29
29
219
XGroup-server
2
-11.5177
29
0.2411
9
0.4823
29
0.2411
23
30
132
profold2
1
-13.9465
30
0.0535
13
0.0535
30
0.0535
30
31
361
Cerebra_server
7
-14.5569
31
-1.7938
31
0.0000
31
0.0000
31
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.