The vertical bars correspond to the standard deviation of a server for the given time frame (only model-1 data is incorporated). Please refer to the Help section for further details about the assessment procedure.
Target Dataset Composition
Any Easy Medium Hard
Submitted Targets 20 3 11 6
With Homo-oligomer Assessment 8 1 2 5
Submitted Targets with Ligands 12 2 8 2

Total Number of Monomeric Models Assessed: 222

1-week - [2018-02-17] - "All targets" dataset
Server Name
Avg. response time
(hh:mm:ss)
Targets Average
lDDT
Average
CAD-score
Average
Model Confidence (lDDT)
Average
lDDT-BS
Average
QS-score
Average
MM-align
Server Status
#Submitted #Modeled #Submitted
Oligo
#Modeled
Oligo
All Modeled All Modeled All Modeled All Modeled All Modeled All Modeled
Robetta 31:54:17 6 5 8 3 44.8 53.7 46.6 55.9 0.63 0.76 29.2 58.3 17.7 47.1 31.5 83.9 1 False
Phyre2 - 6 0 8 0 - - - - - - - - - - - - 1 True
RoseTTAFold - 6 0 8 0 - - - - - - - - - - - - 1 True
SWISS-MODEL 00:06:37 6 5 8 5 36.4 43.7 39.6 47.6 0.67 0.81 35.2 35.2 27.5 44.0 43.1 68.9 1 False
RaptorX 08:50:11 6 6 8 0 53.7 53.7 57.2 57.2 0.63 0.63 34.7 34.7 - - - - 0 False
Princeton_TEMPLATE - 6 0 8 0 - - - - - - - - - - - - 1 True
SPARKS-X 01:00:30 6 6 8 0 41.8 41.8 50.2 50.2 0.51 0.51 40.0 40.0 - - - - 0 False
IntFOLD3-TS 26:40:51 6 3 8 0 24.2 48.4 24.9 49.8 0.41 0.82 47.0 94.0 - - - - 0 False
NaiveBLAST - 6 0 8 0 - - - - - - - - - - - - 1 True
HHpredB - 6 0 8 0 - - - - - - - - - - - - 0 True
IntFOLD4-TS 32:28:24 6 6 8 0 51.7 51.7 54.9 54.9 0.81 0.81 29.6 29.6 - - - - 0 False
PRIMO 00:31:55 6 5 8 0 17.0 20.4 24.3 29.1 0.59 0.71 0.0 0.0 - - - - 0 False
PRIMO_BST_3D 00:40:03 6 5 8 0 16.8 20.2 24.6 29.5 0.55 0.66 0.0 0.0 - - - - 0 False
PRIMO_HHS_3D 01:32:32 6 6 8 0 34.2 34.2 42.7 42.7 0.73 0.73 24.4 24.4 - - - - 0 False
PRIMO_HHS_CL 01:19:20 6 6 8 0 28.4 28.4 37.2 37.2 0.75 0.75 34.4 34.4 - - - - 0 False
PRIMO_BST_CL 00:29:01 6 5 8 0 17.0 20.4 24.3 29.1 0.59 0.71 0.0 0.0 - - - - 0 False
M4T-SMOTIF-TF 15:28:13 6 3 8 0 21.3 42.6 21.2 42.4 0.31 0.63 0.0 0.0 - - - - 1 False