Literature DB >> 17680688

Assessment of disorder predictions in CASP7.

Lorenza Bordoli1, Florian Kiefer, Torsten Schwede.   

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. (c) 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17680688     DOI: 10.1002/prot.21671

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  39 in total

1.  The role of intrinsically unstructured proteins in neurodegenerative diseases.

Authors:  Swasti Raychaudhuri; Sucharita Dey; Nitai P Bhattacharyya; Debashis Mukhopadhyay
Journal:  PLoS One       Date:  2009-05-15       Impact factor: 3.240

2.  Parameterization of disorder predictors for large-scale applications requiring high specificity by using an extended benchmark dataset.

Authors:  Fernanda L Sirota; Hong-Sain Ooi; Tobias Gattermayer; Georg Schneider; Frank Eisenhaber; Sebastian Maurer-Stroh
Journal:  BMC Genomics       Date:  2010-02-10       Impact factor: 3.969

3.  Library of disordered patterns in 3D protein structures.

Authors:  Michail Yu Lobanov; Eugeniya I Furletova; Natalya S Bogatyreva; Michail A Roytberg; Oxana V Galzitskaya
Journal:  PLoS Comput Biol       Date:  2010-10-14       Impact factor: 4.475

4.  Predictors of natively unfolded proteins: unanimous consensus score to detect a twilight zone between order and disorder in generic datasets.

Authors:  Antonio Deiana; Andrea Giansanti
Journal:  BMC Bioinformatics       Date:  2010-04-21       Impact factor: 3.169

5.  Intrinsic disorder in protein interactions: insights from a comprehensive structural analysis.

Authors:  Jessica H Fong; Benjamin A Shoemaker; Sergiy O Garbuzynskiy; Michail Y Lobanov; Oxana V Galzitskaya; Anna R Panchenko
Journal:  PLoS Comput Biol       Date:  2009-03-13       Impact factor: 4.475

6.  Tandem and cryptic amino acid repeats accumulate in disordered regions of proteins.

Authors:  Michelle Simon; John M Hancock
Journal:  Genome Biol       Date:  2009-06-01       Impact factor: 13.583

7.  Critical assessment of methods of protein structure prediction-Round VII.

Authors:  John Moult; Krzysztof Fidelis; Andriy Kryshtafovych; Burkhard Rost; Tim Hubbard; Anna Tramontano
Journal:  Proteins       Date:  2007

8.  Protein secondary structure appears to be robust under in silico evolution while protein disorder appears not to be.

Authors:  Christian Schaefer; Avner Schlessinger; Burkhard Rost
Journal:  Bioinformatics       Date:  2010-01-16       Impact factor: 6.937

9.  Human sirt-1: molecular modeling and structure-function relationships of an unordered protein.

Authors:  Ida Autiero; Susan Costantini; Giovanni Colonna
Journal:  PLoS One       Date:  2008-10-08       Impact factor: 3.240

10.  Influence of sequence changes and environment on intrinsically disordered proteins.

Authors:  Amrita Mohan; Vladimir N Uversky; Predrag Radivojac
Journal:  PLoS Comput Biol       Date:  2009-09-04       Impact factor: 4.475

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