Assessment of protein disorder region predictions in CASP10.
The article presents the assessment of disorder region predictions submitted to CASP10. The evaluation is based on the three measures tested in previous CASPs: (i) balanced accuracy, (ii) the Matthews correlation coefficient for the binary predictions, and (iii) the area under the curve in the receiver operating characteristic (ROC) analysis of predictions using probability annotation. We also performed new analyses such as comparison of the submitted predictions with those obtained with a Naïve disorder prediction method and with predictions from the disorder prediction databases D2P2 and MobiDB. On average, the methods participating in CASP10 demonstrated slightly better performance than those in CASP9.
Genome Center University of California, Davis, Davis, California, 95616.
Bohdan
B
Monastyrskyy
Andriy
A
Kryshtafovych
John
J
Moult
Anna
A
Tramontano
Krzysztof
K
Fidelis
D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D064267:Intrinsically Disordered Proteins / Q000737:chemistry*; D008958:Models, Molecular; D015233:Models, Statistical; D011487:Protein Conformation
D064267:Intrinsically Disordered Proteins
CASP; assessment of disorder prediction; intrinsically disordered proteins; prediction of disordered regions; unstructured proteins