ROTAS: a rotamer-dependent, atomic statistical potential for assessment and prediction of protein structures

BMC Bioinformatics

Table 6 The area under the ROC curves for classification of near-native and non-native model

	Targets	<\|P\|>	<\|N\|>	dDFIRE	OPUS_PSP	RWplus	GOAP	ROTAS
4state_reduced	7	195	468	0.86	0.80	0.81	0.91	0.92
fisa	2	47	453	0.79	0.60	0.79	0.79	0.77
lmds	2	60	439	0.74	0.64	0.66	0.61	0.56
fisa_casp3	2	20	1672	0.74	0.58	0.72	0.68	0.70
moulder	19	151	169	0.95	0.93	0.95	0.95	0.96
rosetta	27	50	50	0.71	0.66	0.74	0.75	0.77
I-TASSER	31	229	217	0.79	0.71	0.77	0.80	0.80
Amber99	41	219	821	0.87	0.79	0.83	0.93	0.93
CASP5-8	89	14	7	0.82	0.75	0.84	0.83	0.84
Total	220	105	245	0.82	0.75	0.82	0.84	0.85
p-value				1.02E-04	7.70E-27	1.30E-03	2.03E-06

<|P|>: Averaged number of positive (near-native) models in each target.
<|N|>: Averaged number of negative (non-native) models in each target.
p-value: P value of paired t-test of the difference of the AUC between ROTAS and the given potential.
The best scores are highlighted in bold type.

ISSN: 1471-2105