Evaluation of disorder predictions in CASP9.

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TitleEvaluation of disorder predictions in CASP9.
Publication TypeJournal Article
Year of Publication2011
AuthorsMonastyrskyy, B, Fidelis, K, Moult, J, Tramontano, A, Kryshtafovych, A
Volume79 Suppl 10
Date Published2011
KeywordsAmino Acid Sequence, Computational Biology, Models, Statistical, Protein Conformation, Proteins, Software

Lack of stable three-dimensional structure, or intrinsic disorder, is a common phenomenon in proteins. Naturally, unstructured regions are proven to be essential for carrying function by many proteins, and therefore identification of such regions is an important issue. CASP has been assessing the state of the art in predicting disorder regions from amino acid sequence since 2002. Here, we present the results of the evaluation of the disorder predictions submitted to CASP9. The assessment is based on the evaluation measures and procedures used in previous CASPs. The balanced accuracy and the Matthews correlation coefficient were chosen as basic measures for evaluating the correctness of binary classifications. The area under the receiver operating characteristic curve was the measure of choice for evaluating probability-based predictions of disorder. The CASP9 methods are shown to perform slightly better than the CASP7 methods but not better than the methods in CASP8. It was also shown that capability of most CASP9 methods to predict disorder decreases with increasing minimum disorder segment length.

Alternate JournalProteins
PubMed ID21928402
PubMed Central IDPMC3212657
Grant ListLM007085 / LM / NLM NIH HHS / United States
P41 LM007085 / LM / NLM NIH HHS / United States
P41 LM007085-12 / LM / NLM NIH HHS / United States
R01 GM100482 / GM / NIGMS NIH HHS / United States