As for the binary classification, the residues in the dataset are classfied 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
Low
Medium
High
Click on the thumbnails to display the performance of the registered predictors on a dataset composed of structures of varying quality
All models   13 weeks (2016-12-16 - 2017-03-11)
Number of Structural Models:2468
Number of high quality residues:362518 (63.11 %)
Number of low quality residues:211940 (36.89 %)




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   13 weeks (2016-12-16 - 2017-03-11)
Number of Structural Models:395
Number of high quality residues:14039 (14.90 %)
Number of low quality residues:80188 (85.10 %)




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   13 weeks (2016-12-16 - 2017-03-11)
Number of Structural Models:1644
Number of high quality residues:235674 (64.92 %)
Number of low quality residues:127364 (35.08 %)




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   13 weeks (2016-12-16 - 2017-03-11)
Number of Structural Models:429
Number of high quality residues:112805 (96.26 %)
Number of low quality residues:4388 (3.74 %)




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.

3-months - [2016-12-16 - 2017-03-11] - "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
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