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None of method was run till now for your sequence, please, be patient, running all methods can take a whileAll residues which disorder probability is over 0.5 are considered as disordered.For visibility only 4 plots corresponding to predictions from final metapredictions had been shown. To see results from primary methods click on the shadowed name of method in legend (the left side of plot). Short description of meta methods:
MetaDisorderMD2 -CASP9 winning method
(group number xxx) - a method based on 13 disorder predictors and gaps
in alignment produced by 8 fold recognition methods, optimized by Sww
score (see Help page for details) using genetic algorithm, if you are looking the most
accurate disorder predictor, you should use this one, according CASP9
its AUC is 0.93;
MetaDisorderMD - (group xxx, third place in CASP9), similar to MetaDisorderMD, but during optimization via GA normal Sw score was used; MetaDisorder - CASP8 winning method (group xxx in casp8, and group xxx in casp9) - metaprediction based on 13 disorder predictors weighted by Sw score for each method MetaDisorder3D - (group xxx), counts gaps as disorder in top ten alignments produced by 8 different fold recognition methods, method and alignment efficiency to detect disorder was optimized by GA, tested during CASP9 as a reference to other meta methods, results are far more reliable than above mentioned methods (AUC 0.83); Primary predictors used by meta methods: a) fold recognition methods: HHsearch run over pdb70 database HHsearch run over CDD database PSI-BLAST run over nr90 database(4 iterations) PSI-BLAST run over CullPDB database (4 iterations) PHYRE - remote method FFAS - remote method mGenThreader PCONS b) disorder predictors: DisEMBL RONN Disopred2 GlobPlot iPDA IUPred long IUPred short Poodle-l PrDOS Spritz long Spritz short VSL2 Pdisorder long
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