Interdomain Predictions Analysis : Group performance based on combined z-scores
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The final ranking was based on the models designated as "1" according to the formula: Z-score(F1) + Z-score(Jaccard score) + Z-score(QS_best).
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GR name |
GR code |
Targets Count |
AVG Zscore (>0.0) |
Rank AVG Zscore (>0.0) |
1 |
UM-TBM |
162 |
24 |
37.8507 |
1 |
1.5771 |
1 |
2 |
Yang-Server |
229 |
24 |
27.2108 |
2 |
1.1338 |
3 |
3 |
Yang |
439 |
20 |
19.7115 |
3 |
0.9856 |
4 |
4 |
PEZYFoldings |
278 |
15 |
18.0578 |
4 |
1.2039 |
2 |
5 |
server_124 |
383 |
24 |
16.2284 |
5 |
0.6762 |
8 |
6 |
Manifold |
248 |
19 |
14.9308 |
6 |
0.7858 |
5 |
7 |
Manifold-E |
035 |
23 |
14.5759 |
7 |
0.6337 |
10 |
8 |
Venclovas |
494 |
19 |
14.5386 |
8 |
0.7652 |
6 |
9 |
DFolding |
074 |
20 |
13.1098 |
9 |
0.6555 |
9 |
10 |
server_126 |
403 |
24 |
12.7975 |
10 |
0.5332 |
16 |
11 |
bench |
008 |
20 |
12.0811 |
11 |
0.6041 |
12 |
12 |
BAKER-SERVER |
443 |
24 |
12.0303 |
12 |
0.5013 |
17 |
13 |
DFolding-server |
288 |
19 |
11.5870 |
13 |
0.6098 |
11 |
14 |
IntFOLD7 |
151 |
23 |
11.4107 |
14 |
0.4961 |
18 |
15 |
Shennong |
466 |
24 |
10.7753 |
15 |
0.4490 |
23 |
16 |
server_123 |
018 |
24 |
10.6511 |
16 |
0.4438 |
24 |
17 |
MultiFOLD |
462 |
22 |
10.6166 |
17 |
0.4826 |
20 |
18 |
RaptorX |
166 |
24 |
9.9124 |
18 |
0.4130 |
27 |
19 |
BAKER |
185 |
20 |
8.8620 |
19 |
0.4431 |
25 |
20 |
Asclepius |
204 |
19 |
8.5891 |
20 |
0.4521 |
21 |
21 |
Kiharalab_Server |
131 |
24 |
8.4352 |
21 |
0.3515 |
39 |
22 |
UltraFold_Server |
125 |
22 |
8.2293 |
22 |
0.3741 |
31 |
23 |
DFolding-refine |
073 |
19 |
8.1694 |
23 |
0.4300 |
26 |
24 |
B11L |
208 |
18 |
8.0841 |
24 |
0.4491 |
22 |
25 |
ManiFold-serv |
450 |
23 |
7.8702 |
25 |
0.3422 |
42 |
26 |
hFold |
353 |
20 |
7.8019 |
26 |
0.3901 |
28 |
27 |
server_122 |
261 |
24 |
7.7880 |
27 |
0.3245 |
46 |
28 |
DMP |
477 |
14 |
7.7417 |
28 |
0.5530 |
15 |
29 |
server_125 |
264 |
24 |
7.6563 |
29 |
0.3190 |
47 |
30 |
MUFold_H |
360 |
20 |
7.5603 |
30 |
0.3780 |
30 |
31 |
OpenFold-SingleSeq |
433 |
19 |
7.0733 |
31 |
0.3723 |
32 |
32 |
OpenFold |
441 |
19 |
7.0733 |
31 |
0.3723 |
32 |
33 |
ShanghaiTech |
225 |
20 |
7.0584 |
33 |
0.3529 |
36 |
34 |
MULTICOM_refine |
475 |
23 |
6.9950 |
34 |
0.3041 |
49 |
35 |
Graphen_Medical |
097 |
14 |
6.8295 |
35 |
0.4878 |
19 |
36 |
AP_1 |
269 |
20 |
6.8095 |
36 |
0.3405 |
43 |
37 |
Elofsson |
320 |
19 |
6.6876 |
37 |
0.3520 |
37 |
38 |
Agemo_mix |
092 |
19 |
6.6477 |
38 |
0.3499 |
40 |
39 |
Panlab |
234 |
20 |
6.5871 |
39 |
0.3294 |
45 |
40 |
McGuffin |
180 |
19 |
6.5509 |
40 |
0.3448 |
41 |
41 |
TRFold |
187 |
17 |
6.4502 |
41 |
0.3794 |
29 |
42 |
BeijingAIProtein |
399 |
17 |
6.1858 |
42 |
0.3639 |
34 |
43 |
UltraFold |
054 |
17 |
6.1858 |
42 |
0.3639 |
34 |
44 |
MULTICOM_deep |
158 |
23 |
6.1738 |
44 |
0.2684 |
55 |
45 |
Agemo |
478 |
17 |
5.9827 |
45 |
0.3519 |
38 |
46 |
FTBiot0119 |
165 |
20 |
5.9501 |
46 |
0.2975 |
51 |
47 |
ChaePred |
398 |
20 |
5.7616 |
47 |
0.2881 |
52 |
48 |
WL_team |
257 |
19 |
5.7417 |
48 |
0.3022 |
50 |
49 |
GuijunLab-Assembly |
098 |
23 |
5.6965 |
49 |
0.2477 |
56 |
50 |
trComplex |
423 |
17 |
5.6135 |
50 |
0.3302 |
44 |
51 |
GuijunLab-DeepDA |
188 |
23 |
5.6052 |
51 |
0.2437 |
57 |
52 |
hFold_human |
342 |
18 |
5.5688 |
52 |
0.3094 |
48 |
53 |
Kiharalab |
119 |
20 |
5.4940 |
53 |
0.2747 |
54 |
54 |
Seder2022easy |
455 |
19 |
5.3198 |
54 |
0.2800 |
53 |
55 |
ColabFold |
446 |
22 |
5.1993 |
55 |
0.2363 |
60 |
56 |
XRC_VU |
215 |
7 |
4.8243 |
56 |
0.6892 |
7 |
57 |
colabfold_human |
461 |
20 |
4.7985 |
57 |
0.2399 |
58 |
58 |
FoldEver |
245 |
23 |
4.6957 |
58 |
0.2042 |
64 |
59 |
GuijunLab-Meta |
481 |
23 |
4.6656 |
59 |
0.2029 |
65 |
60 |
Wallner |
037 |
18 |
4.1617 |
60 |
0.2312 |
61 |
61 |
MULTICOM_qa |
086 |
24 |
4.1110 |
61 |
0.1713 |
68 |
62 |
MULTICOM |
367 |
18 |
3.9011 |
62 |
0.2167 |
62 |
63 |
MULTICOM_egnn |
120 |
24 |
3.8306 |
63 |
0.1596 |
71 |
64 |
MULTICOM_human |
003 |
18 |
3.6862 |
64 |
0.2048 |
63 |
65 |
GinobiFold-SER |
011 |
20 |
3.5591 |
65 |
0.1780 |
67 |
66 |
GuijunLab-Human |
169 |
19 |
3.4694 |
66 |
0.1826 |
66 |
67 |
NBIS-AF2-standard |
270 |
24 |
3.3399 |
67 |
0.1392 |
74 |
68 |
FoldEver-Hybrid |
385 |
14 |
3.3126 |
68 |
0.2366 |
59 |
69 |
MUFold |
298 |
24 |
3.3105 |
69 |
0.1379 |
75 |
70 |
GuijunLab-Threader |
282 |
22 |
3.1286 |
70 |
0.1422 |
73 |
71 |
GuijunLab-RocketX |
089 |
23 |
3.0600 |
71 |
0.1330 |
76 |
72 |
Manifold-LC-E |
046 |
5 |
2.9837 |
72 |
0.5967 |
13 |
73 |
GinobiFold |
227 |
17 |
2.7459 |
73 |
0.1615 |
69 |
74 |
Coqualia |
434 |
17 |
2.7459 |
73 |
0.1615 |
69 |
75 |
BhageerathH-Pro |
212 |
18 |
2.7166 |
75 |
0.1509 |
72 |
76 |
Cerebra |
315 |
21 |
2.5507 |
76 |
0.1215 |
79 |
77 |
Bhattacharya |
275 |
19 |
2.3720 |
77 |
0.1248 |
78 |
78 |
ShanghaiTech-TS-SER |
133 |
20 |
2.3314 |
78 |
0.1166 |
80 |
79 |
SHT |
147 |
20 |
2.2983 |
79 |
0.1149 |
81 |
80 |
FALCON2 |
368 |
24 |
2.2265 |
80 |
0.0928 |
86 |
81 |
FALCON0 |
333 |
24 |
2.2265 |
80 |
0.0928 |
86 |
82 |
Pan_Server |
219 |
23 |
2.1610 |
82 |
0.0940 |
85 |
83 |
hks1988 |
354 |
20 |
2.1535 |
83 |
0.1077 |
82 |
84 |
Gonglab-THU |
052 |
17 |
1.8164 |
84 |
0.1068 |
83 |
85 |
DELCLAB |
447 |
18 |
1.1885 |
85 |
0.0660 |
90 |
86 |
ESM-single-sequence |
067 |
9 |
1.1811 |
86 |
0.1312 |
77 |
87 |
UNRES |
091 |
14 |
1.1657 |
87 |
0.0833 |
88 |
88 |
QUIC |
117 |
20 |
1.1187 |
88 |
0.0559 |
93 |
89 |
PICNIC |
276 |
20 |
1.1002 |
89 |
0.0550 |
94 |
90 |
Seder2022hard |
216 |
10 |
0.5910 |
90 |
0.0591 |
92 |
91 |
SHORTLE |
064 |
1 |
0.5900 |
91 |
0.5900 |
14 |
92 |
wuqi |
370 |
9 |
0.4176 |
92 |
0.0464 |
95 |
93 |
ACOMPMOD |
280 |
5 |
0.2975 |
93 |
0.0595 |
91 |
94 |
MESHI_server |
427 |
2 |
0.1894 |
94 |
0.0947 |
84 |
95 |
EMBER3D |
140 |
10 |
0.1591 |
95 |
0.0159 |
96 |
96 |
Manifold-X |
304 |
1 |
0.0809 |
96 |
0.0809 |
89 |
97 |
RostlabUeFOFold |
123 |
4 |
0.0346 |
97 |
0.0087 |
97 |
98 |
MESHI |
362 |
1 |
0.0000 |
98 |
0.0000 |
98 |
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