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Assessment of disorder predictions in CASP7
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 156365
Author(s) Bordoli, Lorenza; Kiefer, Florian; Schwede, Torsten
Author(s) at UniBasel Schwede, Torsten
Year 2007
Title Assessment of disorder predictions in CASP7
Journal Proteins
Volume 69 Suppl 8
Pages / Article-Number 129-36
Keywords CASP7, assessment of disorder prediction, intrinsic protein disorder, natively unstructured proteins, ROC
Abstract Intrinsically unstructured regions in proteins have been associated with numerous important biological cellular functions. As measuring native disorder experimentally is technically challenging, computational methods for prediction of disordered regions in a protein have gained much interest in recent years. As part of the seventh Critical Assessment of Techniques for Protein Structure Prediction (CASP7), we have assessed 19 methods for disorder prediction based on their results for 96 target proteins. Prediction accuracy was assessed using detailed numerical comparison between the predicted disorder and the experimental structures. On average, methods participating in CASP7 have improved accuracy in comparison to the previous assessment in CASP6. Overall, however, no improvement over the best methods in CASP6 was observed in CASP7. Significant differences between different prediction methods were identified with regard to their sensitivity and specificity in correctly predicting ordered and disordered residues based on a protein target sequence, which is of relevance for practical applications of these computational tools.
Publisher Wiley-Liss
ISSN/ISBN 0887-3585
edoc-URL http://edoc.unibas.ch/dok/A5259342
Full Text on edoc No
Digital Object Identifier DOI 10.1002/prot.21671
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/17680688
ISI-Number WOS:000251502400014
Document type (ISI) Journal Article
 
   

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