As for the binary classification, the residues in the dataset are classified as negative (i.e. good local quality) and positive (i.e. bad quality) applying an arbitrary lDDT local score threshold of 60. Please refer to the Help section for further details about the assessment procedure.
All models   26 weeks (2020-01-10 - 2020-07-04 )
Number of Structural Models: 4431
Number of high quality residues : 721540 (65.26 %)
Number of low quality residues : 384034 (34.74 %)




The histogram shows the global quality (as lDDT global scores) of the structures composing the dataset. Please refer to the Help section for further details about the assessment procedure.

Low quality models    26 weeks (2020-01-10 - 2020-07-04)
Number of Structural Models: 804
Number of high quality residues : 19751 (13.17 %)
Number of low quality residues : 130165 (86.83 %)




The histogram shows the global quality (as lDDT global scores) of the structures composing the dataset. Please refer to the Help section for further details about the assessment procedure.

Medium quality models    26 weeks (2020-01-10 - 2020-07-04)
Number of Structural Models: 2866
Number of high quality residues : 504705 (67.41 %)
Number of low quality residues : 243985 (32.59 %)




The histogram shows the global quality (as lDDT global scores) of the structures composing the dataset. Please refer to the Help section for further details about the assessment procedure.

High quality models    26 weeks (2020-01-10 - 2020-07-04)
Number of Structural Models: 761
Number of high quality residues : 197084 (95.22 %)
Number of low quality residues : 9884 (4.78 %)




The histogram shows the global quality (as lDDT global scores) of the structures composing the dataset. Please refer to the Help section for further details about the assessment procedure.

6-months [2020-01-10 - 2020-07-04] - "All" dataset
Predictor Name Predictor Type Avg. response time
(hh:mm:ss)
Structural models ROC ROCnormalized PR PRnormalized
#Submitted #Received % AUC0,1 AUC*0,0.2 AUC0,1 AUC*0,0.2 AUC0,1 AUC*0.8,1 AUC0,1 AUC*0.8,1