Assessment of disorder predictions in CASP6

By Yumi Jin, Roland L. Dunbrack. 2005

114 citations recorded by the source corpus.

Subfields: Cell Biology, Molecular Biology

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Citations in the corpus

Orderly order in protein intrinsic disorder distribution: disorder in 3500 proteomes from viruses and the three domains of life (2012, unknown): “1 predictor in CASP6 (Jin & Dunbrack, 2005 ) and CASP7 (Bordoli, Kiefer, & Schwede, 2007 ).”
MetaDisorder: a meta-server for the prediction of intrinsic disorder in proteins (2012, background): “The second criterion is the weighted score, called S w, which rewards a correct disorder prediction higher than a correct order prediction [44].”
DisProt: the Database of Disordered Proteins (2006, methodology): “Although the data in DisProt are based on experimental data, predictors of protein disorder have been found to be useful for the analysis of relationships among primary amino acid sequence, structure and function of proteins (28,29).”
PROFbval: predict flexible and rigid residues in proteins (2006, background): “In addition, some predictors of disorder show strong correlations with B-factor values (Jin and Dunbrack, 2005) but methods developed specifically to predict flexibility would be expected to outperform more general predictors of disorder.”
Analyzing Protein Disorder with IUPred2A (2020, background): “These regions are typically short, only 3 to 10 residues long, but have traditionally represented important test cases for disorder-prediction methods (Jin & Dunbrack, 2005).”
Improved Disorder Prediction by Combination of Orthogonal Approaches (2009, methodology): “We used DISOPRED2 for several reasons: it was one of the best methods according to the CASP6 disorder assessment [49], it installed easily locally, and DISOPRED2 is quite orthogonal to our in-house methods [11,59].”
Evaluation of disorder predictions in CASP9 (2011, methodology): “29–31, 44 Inessence Inessence,a ROC”
Natively Unstructured Loops Differ from Other Loops (2007, methodology): “tions on subsets of the ‘‘noncoordinate’’ data [25,26].”
PONDR-FIT: A Meta-Predictor of Intrinsically Disordered Amino Acids (2010, methodology): “We applied the two main criteria used in CASP6 [48] and CASP7 [49] to evaluate the prediction performance.”
Intrinsic disorder and functional proteomics. (2007, background): “The development of different ID predictors was dramatically stimulated by including disorder prediction as a separate category in the CASP experiments (76,77).”
Natively unstructured regions in proteins identified from contact predictions (2007, background): “Methods that implement this idea usually identify long and biologically relevant unstructured regions (Prilusky, et al., 2005) and usually miss short unstructured regions (Jin and Dunbrack, 2005).”