Unsupervised Integration of Multiple Protein Disorder Predictors: The Method and Evaluation on CASP7, CASP8 and CASP9 Data

Table 1 CASP9 evaluation scores on labeled data.

Predictor Name	Institution ^*	ACC	S_w	AUC
MAP-ML		0.764	0.513	0.859
PRDOS2	Tokyo Tech, Japan	0.754	0.509	0.855
MULTICOM-REFINE	University of Missouri, USA	0.750	0.500	0.822
BIOMINE DR PDB	University of Alberta, Canada	0.741	0.483	0.821
GSMETADISORDERMD	IIMCB in Warsaw, Poland	0.738	0.476	0.816
MASON	George Mason University, USA	0.736	0.473	0.743
MAJORITY-VOTING		0.735	0.496	0.776
ZHOU-SPINE-D	IU School of Medicine, USA	0.731	0.462	0.832
DISTILL-PUNCH1	UCD Dublin, Ireland	0.726	0.453	0.800
OND-CRF	Umea University, Sweden	0.706	0.412	0.737
UNITED3D	Kitasato University, Japan	0.704	0.412	0.781
CBRC_POODLE	CBRC, Japan	0.694	0.405	0.830
MCGUFFIN	University of Reading, UK	0.688	0.402	0.817
ISUNSTRUCT	IPR RAS, Russia	0.679	0.396	0.742
DISOPRED3C	University College London, UK	0.670	0.391	0.853
ULG-GIGA	University of Liege, France	0.585	0.341	0.726
MEDOR	Aix-Marseille University, France	0.579	0.338	0.688

^*Only the first author’s institution is shown here as well as in Tables 2 and 3.

ISSN: 1477-5956