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PMID: 17680688 Published · ppublish English Comparative Study Journal Article

Assessment of disorder predictions in CASP7.

Proteins ·Vol. 69 Suppl 8 ·2007-00-00 ·Pages 129-36

Bordoli L, Kiefer F, Schwede T

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.

MeSH Terms
Algorithms Computational Biology/methods Crystallography, X-Ray Databases, Protein Nuclear Magnetic Resonance, Biomolecular Protein Conformation Proteins/chemistry Proteomics/methods
Chemicals
Proteins
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Bordoli Lorenza
Biozentrum University of Basel, Basel, Switzerland.
Kiefer Florian
Schwede Torsten
Article Info
Journal
Proteins
Abbr.
Proteins
ISSN
1097-0134
Published
2007-00-00
Pages
129-36
Language
English
Region
United States
NLM ID
8700181
Subset
IM
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