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   52 weeks (2019-07-12 - 2020-07-04 )
Number of Structural Models: 9108
Number of high quality residues : 1473532 (64.85 %)
Number of low quality residues : 798739 (35.15 %)




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    52 weeks (2019-07-12 - 2020-07-04)
Number of Structural Models: 1658
Number of high quality residues : 39431 (12.31 %)
Number of low quality residues : 280879 (87.69 %)




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    52 weeks (2019-07-12 - 2020-07-04)
Number of Structural Models: 5764
Number of high quality residues : 991457 (66.62 %)
Number of low quality residues : 496764 (33.38 %)




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    52 weeks (2019-07-12 - 2020-07-04)
Number of Structural Models: 1686
Number of high quality residues : 442644 (95.45 %)
Number of low quality residues : 21096 (4.55 %)




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.

1-year [2019-07-12 - 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