Assessment of disorder predictions in CASP7

By Lorenza Bordoli, Florian Kiefer, Torsten Schwede. 2007

124 citations recorded by the source corpus.

Subfields: Materials Chemistry, Molecular Biology, Spectroscopy

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Citations in the corpus

IntFOLD: an integrated web resource for high performance protein structure and function prediction (2019, neutral): “Recently, the component methods have ranked among top independent servers in the Tertiary Structure (TS) prediction (5) and Estimates of Model Accuracy (EMA) categories (7), as well as ranking well in the historical categories of intrinsic disorder prediction and function prediction (26,27).”
Disorder Prediction Methods, Their Applicability to Different Protein Targets and Their Usefulness for Guiding Experimental Studies (2015, unknown): “protein target that contained a longer disordered region [34].”
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.”
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 ).”
Evaluation of disorder predictions in CASP9 (2011, methodology): “The statistical significance of the differences in group performance was assessed using procedures adopted in CASP7,30 that is, the bootstrap confidence interval method36,37 and the DeLong tests.”
Improved Disorder Prediction by Combination of Orthogonal Approaches (2009, methodology): “77), one of the most accurate predictors at the 7 Critical Assessment of methods of protein Structure Prediction (CASP7) [49,61].”
Genome‐scale prediction of proteins with long intrinsically disordered regions (2014, methodology): “21–25 Although these methods predict the disorder relatively well at the residue level,19,25 they are less accurate at the sequence level.”
Comprehensive comparative assessment of in-silico predictors of disordered regions. (2012, unknown): “Evaluation criteria The assessment of the per-residue predictions uses the same criteria as in the CASP experiments [[16],[17]].”