Benchmarking consensus model quality assessment for protein fold recognition

BMC Bioinformatics

Table 1 Global measures of the Spearman's rank correlation coefficients (ρ)

	TM-score	MaxSub	GDT	Combined
3D-Jury^†	0.955	0.924	0.925	0.943
LEE*^†	0.943	0.903	0.909	0.926
ModFOLD	0.843	0.807	0.807	0.825
PROQ*	0.828	0.764	0.759	0.789
Pcons*^†	0.803	0.773	0.765	0.786
ProQ-MX	0.779	0.755	0.751	0.768
ModSSEA	0.744	0.736	0.742	0.747
MODCHECK	0.729	0.659	0.658	0.686
ProQ-LG	0.688	0.651	0.640	0.665

All models are pooled together and the ρ is measured between predicted and observed model quality scores. The combined observed model quality score was also calculated for each individual model e.g. mean score for each model (TM-score+MaxSub+GTD)/3.*The MQAP scores for these methods were downloaded from CASP7 website; all other MQAP methods were run in house during the CASP7 experiment. †MQAP methods which rely on the comparison of multiple models or include additional information from multiple servers; all other methods are capable of producing a single score based on a single model.

ISSN: 1471-2105