CAMEO - Continuous Automated Model EvaluatiOn - CAMEO-QE: Model Quality Estimation

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 4 weeks (2024-10-25 - 2024-11-16 )

Number of Structural Models:	19
Number of high quality residues :	393 (27.08 %)
Number of low quality residues :	1058 (72.92 %)

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 4 weeks (2024-10-25 - 2024-11-16)

Number of Structural Models:	19
Number of high quality residues :	393 (27.08 %)
Number of low quality residues :	1058 (72.92 %)

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 4 weeks (2024-10-25 - 2024-11-16)

Number of Structural Models:	137
Number of high quality residues :	25160 (77.40 %)
Number of low quality residues :	7346 (22.60 %)

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 4 weeks (2024-10-25 - 2024-11-16)

Number of Structural Models:	162
Number of high quality residues :	48381 (96.45 %)
Number of low quality residues :	1783 (3.55 %)

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.

CAMEOContinuous Automated Model EvaluatiOn

CAMEO-QE: Model Quality Estimation 1-month Performance