16th Community Wide Experiment on the
Critical Assessment of Techniques for Protein Structure Prediction
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RNA Predictions Analysis : Group performance based on combined z-scores
Results Home Table Browser
  • Analysis on the models designated as "1"
  • Analysis on the models with the best scores
The final ranking was generated according to the formula: 0.3*Z-score(TM) + 0.3*Z-score(GDTTS) + 0.4*Z-score(LDDT).
    #     GR
    name		     GR
    code		     Targets Count     SUM Zscore
    (>0.0)		     Rank SUM Zscore
    (>0.0)		     AVG Zscore
    (>0.0)		     Rank AVG Zscore
    (>0.0)
1 Vfold 481 32 26.4369 1 0.8262 3
2 GuangzhouRNA-human 183 31 23.1442 2 0.7466 4
3 KiharaLab 294 33 23.1122 3 0.7004 7
4 Yang-Server 052 31 17.6018 4 0.5678 12
5 GeneSilico 338 33 17.2775 5 0.5236 15
6 elofsson 241 33 16.4242 6 0.4977 19
7 CSSB_experimental 286 33 16.2964 7 0.4938 21
8 Diff 033 31 15.9774 8 0.5154 17
9 AF3-server 304 33 15.6928 9 0.4755 25
10 CoDock 262 24 15.2819 10 0.6367 9
11 RNAFOLDX 435 31 14.8132 11 0.4778 24
12 Bhattacharya 369 30 14.6799 12 0.4893 23
13 RNApolis 063 26 14.1484 13 0.5442 13
14 GuangzhouRNA-meta 417 32 13.8655 14 0.4333 27
15 GromihaLab 272 28 13.8134 15 0.4933 22
16 LCBio 189 26 13.4174 16 0.5161 16
17 Zheng 462 33 13.3293 17 0.4039 28
18 BRIQX 238 26 13.2692 18 0.5104 18
19 NKRNA-s 028 33 12.7633 19 0.3868 30
20 Yang-Multimer 456 23 12.0773 20 0.5251 14
21 MIEnsembles-Server 110 33 11.2678 21 0.3414 39
22 falcon2 208 30 11.0686 22 0.3690 33
23 405 325 22 9.7991 23 0.4454 26
24 dNAfold 448 26 9.4743 24 0.3644 34
25 406 159 24 9.2046 25 0.3835 31
26 OpenComplex 167 32 8.6563 26 0.2705 43
27 OpenComplex_Server 450 31 7.6184 27 0.2458 45
28 dfr 165 20 7.0951 28 0.3548 38
29 GuangzhouRNA_AI 317 32 6.5914 29 0.2060 46
30 RNA_Dojo 006 23 6.1970 30 0.2694 44
31 nfRNA 307 16 5.7037 31 0.3565 35
32 B-LAB 231 31 5.5436 32 0.1788 47
33 Huang-HUST 091 13 4.9451 33 0.3804 32
34 LCDD-team 055 5 4.6393 34 0.9279 1
35 dMNAfold 143 11 4.3783 35 0.3980 29
36 ShanghaiTech-human 298 9 3.2006 36 0.3556 36
37 ShanghaiTech-server 423 9 3.2006 36 0.3556 36
38 SNU-CHEM-lig 408 5 3.0331 38 0.6066 10
39 SoutheRNA 156 32 2.8839 39 0.0901 54
40 kiharalab_server 267 27 2.6438 40 0.0979 52
41 comppharmunibas 020 3 2.5449 41 0.8483 2
42 OmniFold 400 4 2.3555 42 0.5889 11
43 FrederickFolding 276 3 2.1730 43 0.7243 6
44 mmagnus 403 4 1.9811 44 0.4953 20
45 GeneSilicoRNA-server 306 23 1.9702 45 0.0857 55
46 SimRNA-server 094 24 1.2376 46 0.0516 57
47 MULTICOM_ligand 207 5 0.8699 47 0.1740 48
48 KUMC 227 5 0.8491 48 0.1698 49
49 test001 202 1 0.7429 49 0.7429 5
50 Zheng-Multimer 147 1 0.6453 50 0.6453 8
51 isyslab-hust 235 32 0.5326 51 0.0166 59
52 PerezLab_Gators 358 13 0.3656 52 0.0281 58
53 MULTICOM_LLM 319 1 0.3396 53 0.3396 40
54 MULTICOM_AI 331 1 0.3396 53 0.3396 40
55 MULTICOM_GATE 425 1 0.3396 53 0.3396 40
56 MULTICOM 051 2 0.3396 53 0.1698 50
57 MULTICOM_human 345 2 0.3396 53 0.1698 50
58 SwRI 026 1 0.0920 58 0.0920 53
59 AIR 367 1 0.0696 59 0.0696 56
60 PocketTracer 464 5 0.0442 60 0.0088 61
61 UDMod 447 2 0.0222 61 0.0111 60
62 thermomaps 169 24 0.0000 62 0.0000 62
63 UNRES 261 18 0.0000 62 0.0000 62
64 Dokholyan 439 8 0.0000 62 0.0000 62
D1273  R1203  R1205  R1209  R1211  R1212  R1221s2  R1221s3  R1224s2  R1224s3  R1241  R1242  R1248  R1250  R1251  R1252  R1253v1  R1253v2  R1254  R1255  R1256  R1261  R1262  R1263  R1264  R1271  R1281  R1283v1  R1285  R1286  R1288  R1289  R1290  R1291  R1293  R1296 
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.
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