. Author manuscript; available in PMC: 2015 Feb 1.

Published in final edited form as: Proteins. 2014 Feb;82(0 2):43–56. doi: 10.1002/prot.24488

Table II.

Sum and Average Z-scores for Top 25 Performing Predictor Groups – 57 hAUs.

Group	Name	N_model	GDT-HA	GDC-all	RPF	LDDT	Sum	Avg-a	Avg-s	MolPro
237	zhang	57	37.64	33.50	50.23	46.15	41.88	0.74	0.74	1.63
27	LEEcon	57	35.60	36.14	45.39	47.43	41.14	0.72	0.72	12.84
035s	Zhang-Server	57	32.85	31.00	44.68	40.19	37.18	0.65	0.65	−2.33
130	Pcomb	57	29.92	28.99	44.96	41.68	36.39	0.64	0.64	22.33
197	Mufold	56	30.46	29.74	42.41	39.20	35.45	0.62	0.63	−9.75
79	TASSER	57	34.34	32.49	40.59	33.92	35.34	0.62	0.62	−32.59
267	Pcons	56	28.76	28.78	42.48	40.73	35.19	0.62	0.63	15.26
489	MULTICOM	57	29.85	29.53	40.17	39.02	34.64	0.61	0.61	9.01
344	Jones-UCL	56	26.78	28.72	43.08	37.82	34.10	0.60	0.61	−50.10
114s	QUARK	56	29.68	25.98	38.50	35.87	32.51	0.57	0.58	−5.65
301	LEE	57	27.53	29.38	34.98	37.52	32.35	0.57	0.57	6.37
477	BAKER	57	31.46	29.24	35.34	33.04	32.27	0.57	0.57	104.97
475	CNIO	57	27.86	23.52	39.78	37.69	32.21	0.57	0.57	−2.34
350	Kloczkowski_Lab	57	26.74	23.82	40.01	36.94	31.88	0.56	0.56	18.79
490	Zhang_Refinement	57	26.03	24.81	33.25	32.61	29.18	0.51	0.51	16.67
294	chuo-repack	57	23.19	20.55	36.79	34.19	28.68	0.50	0.50	−6.90
458	St ernberg	57	25.94	23.30	32.25	31.66	28.29	0.50	0.50	−10.66
365	chuo-fams	57	22.50	21.08	35.92	31.92	27.86	0.49	0.49	4.58
428	PconsQ	56	22.08	20.09	33.92	33.43	27.38	0.48	0.49	7.49
434	chuo-fams-consensus	57	20.19	15.16	32.68	31.41	24.86	0.44	0.44	−7.49
481	Chicken_George	57	21.70	18.50	31.02	28.17	24.85	0.44	0.44	5.58
122s	RaptorX-ZY	57	25.88	24.34	24.68	21.98	24.22	0.43	0.43	−44.38
45	Zhang_Ab_Initio	57	21.07	20.37	28.28	26.96	24.17	0.42	0.42	4.98
285	McGuffin	55	18.28	16.26	30.52	27.92	23.25	0.41	0.42	−1.60
405	Mufold2	54	18.98	18.36	28.92	25.93	23.05	0.40	0.43	−17.03

The columns labeled GDT-HA, GDC-all, RPF, and LDDT are the sum of Z scores across all models submitted by each predictor group. The Sum column is the average of the sum of Z scores for the four metrics assessed. The Avg-s and Avg-a scores are the Sum scored divided by the number of AUs for which a model was submitted (s) by each predictor group, and the total number of AUs used for assessment (a), respectively. These scores are identical for predictor groups who submitted models for all 57 hAUs.