CASP8 Preliminary Results of Tertiary Structure Predictions Based on 120 Targets

 

1. The ranking of TS methods by the sum of TM scores of the NO. 1 models based on 120 targets:

RANKMethod NameSum of TM Scores
1Zhang-Server84.6741
2pro-sp3-TASSER82.2468
3METATASSER81.835
4RAPTOR81.3194
5Phyre_de_novo80.8532
6HHpred580.8194
7MULTICOM-REFINE80.8163
8BAKER-ROBETTA80.6332
9MULTICOM-CLUSTER80.562
10HHpred480.5485
11HHpred280.5366
12MUProt80.3992
13MUSTER79.8696
14FAMSD79.8674
15Pcons_multi79.493
16MULTICOM-RANK79.3057
17GS-KudlatyPred79.1314
18MULTICOM-CMFR79.0311
19SAM-T08-server78.8856
20COMA-M78.8515
213DShot278.7949
22PS2-server78.1421
23circle78.1055
24Phyre277.912
25FFASsuboptimal77.8319
26FEIG77.5552
27PSI77.4123
28COMA77.0552
29Phragment76.986
30FFASstandard76.5338
31Poing76.3948
32FFASflextemplate76.1363
33nFOLD375.5425
34FALCON75.4344
35mGenTHREADER75.3265
36Pcons_dot_net75.3178
373D-JIGSAW_V375.2612
38GeneSilicoMetaServer75.2327
39CpHModels74.949
40BioSerf74.7500999999999
413D-JIGSAW_AEP74.6406
42fais-server74.4655
43SAM-T06-server74.4351
44GS-MetaServer273.9964
45Pcons_local72.6828
46pipe_int71.4693
47keasar-server70.5736
48FALCON_CONSENSUS70.093
493Dpro69.6459
50forecast66.7771
51ACOMPMOD66.1798
52MUFOLD-Server65.5483
53panther_server65.1929
54Frankenstein64.2603
55Distill63.5792
56Pushchino61.3356
57rehtnap60.6139
58LOOPP_Server60.3436
59LEE-SERVER58.7812
60Fiser-M4T53.7415
61FOLDpro52.5168
62YASARA47.5848
63mariner144.759
64OLGAFS38.8945
65huber-torda-server37.9116
66MUFOLD-MD37.2221
67RBO-Proteus33.762
68schenk-torda-server18.1892
69mahmood-torda-server10.8633
70BHAGEERATH1.1778
71SAM-T02-server_AL1BLANK
72SAM-T02-server_AL2BLANK
73FUGUE_KM_AL1BLANK
74SAM-T02-server_AL4BLANK
75FUGUE_KM_AL4BLANK
76SAM-T02-server_AL3BLANK
77FUGUE_KM_AL3BLANK
78SAM-T02-server_AL5BLANK
79FUGUE_KM_AL2BLANK

 

 

2. The ranking of TS methods by the sum of TM scores of the best models (with highest TM scores) out of five based on 120 targets:

RANKMethod NameSum of TM Scores
1Zhang-Server86.6839
2pro-sp3-TASSER85.443
3METATASSER85.1278
4MULTICOM-CLUSTER83.4368
5RAPTOR83.1176
6MUSTER82.9778
7BAKER-ROBETTA82.9047
8FEIG82.7523
9MULTICOM-REFINE82.7417
10Phyre_de_novo82.5638
11MUProt82.3528
12FAMSD82.0025
13MULTICOM-CMFR81.7753
14MULTICOM-RANK81.684
15Pcons_multi81.6383
16PS2-server80.9097
17circle80.9043
18PSI80.8802
19HHpred580.8194
20SAM-T08-server80.6832
21Phyre280.6448
22nFOLD380.549
23HHpred480.5485
24HHpred280.5366
25COMA-M80.4428
26COMA80.4123
27GS-KudlatyPred80.3046
28fais-server80.0552999999999
29Phragment79.5674
30FALCON79.2244
31Poing79.1092
32Pcons_dot_net79.0436
33FFASstandard79.0137
343DShot278.7949
35GeneSilicoMetaServer78.6739
36FFASsuboptimal78.5204
37SAM-T06-server78.3112
38GS-MetaServer278.0042
39FALCON_CONSENSUS77.6219
40Pcons_local76.8315
413D-JIGSAW_V376.7841
42FFASflextemplate76.5286
433D-JIGSAW_AEP76.294
44mGenTHREADER75.3265
45BioSerf75.0700999999999
46CpHModels74.949
47keasar-server74.3033
483Dpro73.0953
49pipe_int72.5291
50panther_server71.2625
51ACOMPMOD71.0643
52forecast69.6126
53LOOPP_Server68.8962
54MUFOLD-Server67.4749
55Frankenstein66.8226
56FOLDpro65.3353
57Distill64.7498
58rehtnap62.7222
59mariner161.5025
60Pushchino61.3356
61LEE-SERVER59.5234
62Fiser-M4T53.7415
63YASARA48.1938
64OLGAFS43.9891
65MUFOLD-MD42.2947
66huber-torda-server40.7319
67RBO-Proteus36.8638
68schenk-torda-server20.0959
69mahmood-torda-server13.705
70BHAGEERATH1.271
71SAM-T02-server_AL10
72SAM-T02-server_AL20
73FUGUE_KM_AL10
74SAM-T02-server_AL40
75FUGUE_KM_AL40
76SAM-T02-server_AL30
77FUGUE_KM_AL30
78SAM-T02-server_AL50
79FUGUE_KM_AL20

 

 

3. The ranking of TS methods by the sum of GDT-TS scores of the NO. 1 model based on 120 targets:

RANKMethod NameSum of GDT-TS ScoresNO. of Targets
1Zhang-Server75.5184120
2pro-sp3-TASSER72.8916120
3RAPTOR72.8145120
4Phyre_de_novo72.2954120
5METATASSER72.0946120
6MULTICOM-REFINE72.0432120
7HHpred571.9753120
8MULTICOM-CLUSTER71.8341120
9MUProt71.6399120
10BAKER-ROBETTA71.5919120
11HHpred471.4565120
12HHpred271.3293120
13MULTICOM-RANK70.7783120
14FAMSD70.723120
15MUSTER70.6397120
16GS-KudlatyPred70.6208119
17Pcons_multi70.3953120
18COMA-M70.2087120
19MULTICOM-CMFR70.1791120
20SAM-T08-server69.8361120
21PS2-server69.6243120
22FFASsuboptimal69.3195120
23circle69.0414120
243DShot268.8215120
25Phyre268.6052000000001120
26PSI68.0729120
27FFASstandard68.0639120
28COMA67.9261120
29Phragment67.8691120
30FEIG67.7988120
31FFASflextemplate67.6155119
32mGenTHREADER67.4272120
33Poing67.2076120
34nFOLD366.8533120
35Pcons_dot_net66.817116
36GeneSilicoMetaServer66.7971118
373D-JIGSAW_V366.7769120
38CpHModels66.6464119
393D-JIGSAW_AEP66.4101120
40FALCON66.2967120
41BioSerf66.2666119
42GS-MetaServer265.8756118
43SAM-T06-server65.4717120
44fais-server65.2874115
45Pcons_local64.6366118
46pipe_int63.4154110
47keasar-server63.1432109
483Dpro61.2953117
49FALCON_CONSENSUS60.5472119
50forecast58.4104116
51ACOMPMOD57.7837118
52Frankenstein57.3292105
53panther_server56.7952108
54MUFOLD-Server56.0461120
55Pushchino55.1259105
56LOOPP_Server53.1347110
57LEE-SERVER53.088378
58rehtnap53.0614118
59Distill52.9497119
60Fiser-M4T48.755775
61FOLDpro44.0413120
62YASARA43.769260
63mariner137.0272118
64OLGAFS34.3042105
65huber-torda-server34.084674
66MUFOLD-MD31.2081117
67RBO-Proteus28.2101119
68schenk-torda-server13.7362109
69mahmood-torda-server9.513765
70BHAGEERATH1.30325
71SAM-T02-server_AL1BLANK0
72SAM-T02-server_AL2BLANK0
73FUGUE_KM_AL1BLANK0
74SAM-T02-server_AL4BLANK0
75FUGUE_KM_AL4BLANK0
76SAM-T02-server_AL3BLANK0
77FUGUE_KM_AL3BLANK0
78SAM-T02-server_AL5BLANK0
79FUGUE_KM_AL2BLANK0

 

 

4. The ranking of TS methods by the sum of GDT-TS scores of the best models (with highest GDT-TS scores) out of five based on 120 targets:

RANKMethod NameSum of GDT-TS Scores
1Zhang-Server77.303
2pro-sp3-TASSER76.0127
3METATASSER75.5572
4RAPTOR74.6241000000001
5MULTICOM-CLUSTER74.542
6MUSTER73.8884
7Phyre_de_novo73.8757
8MULTICOM-REFINE73.8176
9BAKER-ROBETTA73.6128
10MUProt73.3601
11FEIG73.2191
12MULTICOM-RANK72.9559
13MULTICOM-CMFR72.8718
14FAMSD72.8074
15Pcons_multi72.7735999999999
16PS2-server72.3126
17circle72.0395
18HHpred571.9753
19SAM-T08-server71.8698
20COMA-M71.8293999999999
21PSI71.7834
22nFOLD371.7155
23Phyre271.6903
24GS-KudlatyPred71.6727
25COMA71.5081
26HHpred471.4565
27HHpred271.3293
28fais-server70.786
29FFASstandard70.7499
30Phragment70.6394
31Pcons_dot_net70.5561
32GeneSilicoMetaServer70.3614
33FALCON70.2147
34FFASsuboptimal70.015
35Poing69.9928
36SAM-T06-server69.9762
37GS-MetaServer269.7067
383DShot268.8215
39Pcons_local68.6524
403D-JIGSAW_V368.3304
41FALCON_CONSENSUS68.3282
42FFASflextemplate68.1299
433D-JIGSAW_AEP67.9892000000001
44mGenTHREADER67.4272
45keasar-server66.7547
46CpHModels66.6464
47BioSerf66.5123
48pipe_int64.5971
493Dpro64.5836
50panther_server62.7499
51ACOMPMOD62.0536
52forecast61.2674
53LOOPP_Server60.8152
54Frankenstein59.6068
55MUFOLD-Server57.9297
56FOLDpro55.8344
57rehtnap55.4216
58Pushchino55.1259
59Distill54.2473
60LEE-SERVER53.8565
61mariner153.5414
62Fiser-M4T48.7557
63YASARA44.5067
64OLGAFS39.4605
65huber-torda-server37.0434
66MUFOLD-MD35.4366
67RBO-Proteus30.5698
68schenk-torda-server14.9786
69mahmood-torda-server11.7758
70BHAGEERATH1.4038
71SAM-T02-server_AL10
72SAM-T02-server_AL20
73FUGUE_KM_AL10
74SAM-T02-server_AL40
75FUGUE_KM_AL40
76SAM-T02-server_AL30
77FUGUE_KM_AL30
78SAM-T02-server_AL50
79FUGUE_KM_AL20

 

 

5. The ranking of TS methods by the sum of MaxSub scores of the NO. 1 models based on 120 targets:

RANKMethod NameSum of MaxSub Scores
1Zhang-Server71.7875
2RAPTOR69.0238
3pro-sp3-TASSER68.8298
4METATASSER68.7603
5HHpred567.9616
6Phyre_de_novo67.9445
7MULTICOM-REFINE67.76
8MULTICOM-CLUSTER67.7549
9MUProt67.4281
10BAKER-ROBETTA67.2731
11HHpred467.2624
12HHpred267.1043
13GS-KudlatyPred66.5143
14FAMSD66.508
15MULTICOM-RANK66.3536
16Pcons_multi66.336
17MUSTER66.1674
18MULTICOM-CMFR65.8532
19COMA-M65.5762
20SAM-T08-server65.4979
21PS2-server65.4749
223DShot265.2904
23FFASsuboptimal65.2478
24circle64.7389
25FFASstandard64.3616
26Phyre264.232
27FEIG63.9182
28FFASflextemplate63.6672
29PSI63.5743
30COMA63.511
31mGenTHREADER63.3181
32Phragment63.2584
33CpHModels63.0429
34Pcons_dot_net62.9237
35GeneSilicoMetaServer62.9146
36nFOLD362.8037
37Poing62.4616
383D-JIGSAW_AEP62.2001
39GS-MetaServer262.1667
403D-JIGSAW_V362.1065
41BioSerf61.4808
42fais-server61.2056
43FALCON61.2031
44Pcons_local60.8206
45SAM-T06-server60.3159
46pipe_int59.1776
47keasar-server58.8603
483Dpro57.0689
49FALCON_CONSENSUS55.3181
50forecast53.4757
51panther_server53.338
52Frankenstein53.1263
53ACOMPMOD52.8045
54Pushchino51.5325
55LEE-SERVER50.9499
56MUFOLD-Server49.7235
57rehtnap49.288
58Distill48.5941
59LOOPP_Server48.4766
60Fiser-M4T46.9775
61YASARA41.9383
62FOLDpro37.9023
63mariner131.4023
64huber-torda-server31.3767
65OLGAFS30.1681
66MUFOLD-MD25.2152
67RBO-Proteus22.6004
68schenk-torda-server9.4587
69mahmood-torda-server6.4457
70BHAGEERATH1.034
71SAM-T02-server_AL1BLANK
72SAM-T02-server_AL2BLANK
73FUGUE_KM_AL1BLANK
74SAM-T02-server_AL4BLANK
75FUGUE_KM_AL4BLANK
76SAM-T02-server_AL3BLANK
77FUGUE_KM_AL3BLANK
78SAM-T02-server_AL5BLANK
79FUGUE_KM_AL2BLANK

 

 

6. The ranking of TS methods by the sum of MaxSub scores of the best models (with highest MaxSub scores) out of five based on 120 targets:

RANKMethod NameSum of MaxSub Scores
1Zhang-Server73.7416
2pro-sp3-TASSER72.4221
3METATASSER72.2778
4MULTICOM-CLUSTER71.1492
5RAPTOR71.04
6FEIG70.1182
7MUSTER69.992
8MULTICOM-REFINE69.9891
9Phyre_de_novo69.9637
10MUProt69.4987
11BAKER-ROBETTA69.4197
12FAMSD69.1658
13MULTICOM-CMFR68.9841
14MULTICOM-RANK68.9782999999999
15Pcons_multi68.7439
16PS2-server68.6952
17SAM-T08-server68.3605
18nFOLD368.3004
19PSI68.1479
20circle68.118
21HHpred567.9616
22Phyre267.8316
23GS-KudlatyPred67.5971
24COMA-M67.5723
25COMA67.4151
26HHpred467.2624
27HHpred267.1043
28FFASstandard67.0724
29GeneSilicoMetaServer66.9689
30fais-server66.8724
31Pcons_dot_net66.7498
32Phragment66.6238
33SAM-T06-server66.4499
34GS-MetaServer266.3752
35FFASsuboptimal66.2075
36FALCON66.014
37Poing65.8578
383DShot265.2904
39Pcons_local65.1966
40FFASflextemplate64.2136
413D-JIGSAW_V363.8426
423D-JIGSAW_AEP63.7543
43FALCON_CONSENSUS63.6703
44mGenTHREADER63.3181
45keasar-server63.0618
46CpHModels63.0429
47BioSerf61.7345
483Dpro60.6666
49pipe_int60.6159
50panther_server59.3672
51ACOMPMOD57.0634
52forecast56.826
53LOOPP_Server56.6398
54Frankenstein56.0937
55rehtnap51.9621
56MUFOLD-Server51.9297
57LEE-SERVER51.8993
58Pushchino51.5325
59FOLDpro50.4459
60Distill50.0814
61mariner148.3764
62Fiser-M4T46.9775
63YASARA42.872
64OLGAFS35.6034
65huber-torda-server34.351
66MUFOLD-MD29.5871
67RBO-Proteus24.7985
68schenk-torda-server10.6795
69mahmood-torda-server8.1423
70BHAGEERATH1.0798
71SAM-T02-server_AL10
72SAM-T02-server_AL20
73FUGUE_KM_AL10
74SAM-T02-server_AL40
75FUGUE_KM_AL40
76SAM-T02-server_AL30
77FUGUE_KM_AL30
78SAM-T02-server_AL50
79FUGUE_KM_AL20

 

 

If you have any comments or questions, you are welcome to contact Dr. Jianlin Cheng at chengji@missouri.edu or Zheng Wang at zwyw6@mizzou.edu.

Last modified on Sep 29th, 2008.