Assessment of protein disorder region predictions in CASP10

Bohdan Monastyrskyy, Andriy Kryshtafovych, John Moult, Anna Tramontano, Krzysztof Fidelis

Research output: Contribution to journalArticlepeer-review

108 Scopus citations

Abstract

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.
Original languageEnglish (US)
Pages (from-to)127-137
Number of pages11
JournalProteins: Structure, Function, and Bioinformatics
Volume82
Issue numberSUPPL.2
DOIs
StatePublished - Nov 22 2013
Externally publishedYes

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