. 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 I.

Sum and Average Z-scores for Top 25 Performing Server Predictor Groups – 112 hsAUs

Group	Name	N_model	GDT-HA	GDC-all	RPF	LDDT	Sum	Avg-a	Avg-s	MolPro
330s	BAKER-ROSETTASERVER	112	52.03	62.49	77.60	75.18	66.83	0.60	0.60	219.08
035s	Zhang-Server	112	54.21	48.41	78.52	66.59	61.93	0.55	0.55	15.62
108s	PMS	112	37.21	49.23	72.74	74.08	58.32	0.52	0.52	2.03
114s	QUARK	111	50.68	41.91	70.40	60.60	55.90	0.50	0.50	9.40
370s	HHpred-thread	111	44.39	48.89	50.60	58.05	50.48	0.45	0.46	−144.25
122s	RaptorX-ZY	112	43.44	42.14	53.96	47.22	46.69	0.42	0.42	−70.08
430s	HHpredA	112	44.20	46.70	45.30	49.21	46.35	0.41	0.41	−137.90
223s	HHpredAQ	112	40.82	43.87	44.73	48.88	44.58	0.40	0.40	−139.75
486s	RaptorX	112	42.91	43.50	42.62	36.23	41.32	0.37	0.37	−36.43
424s	MULTICOM-NOVEL	112	31.30	34.88	45.11	47.34	39.66	0.35	0.35	27.56
125s	MULTICOM-REFINE	112	27.70	33.03	39.74	42.52	35.75	0.32	0.32	30.97
081s	MULTICOM-CLUSTER	112	24.39	30.72	39.49	41.41	34.00	0.30	0.30	30.46
335s	TASSER-VMT	112	29.13	24.93	48.74	28.75	32.89	0.29	0.29	−88.38
103s	PconsM	112	24.21	25.59	43.61	37.44	32.71	0.29	0.29	27.14
488s	chunk-TASSER	112	24.85	29.28	38.73	36.42	32.32	0.29	0.29	−28.19
292s	Pcons-net	112	13.93	20.25	32.86	28.66	23.93	0.21	0.21	65.23
286s	Mufold-MD	112	10.72	16.35	32.47	30.63	22.54	0.20	0.20	93.95
222s	MULTICOM-CONSTRUCT	112	14.40	19.42	26.07	29.11	22.25	0.20	0.20	16.48
333s	MUFOLD-Server	112	16.05	15.96	27.70	23.79	20.88	0.19	0.19	−13.69
261s	Seok-server	112	13.31	23.50	12.71	25.40	18.73	0.17	0.17	75.22
411s	FALCON-TOPO	112	6.67	7.67	17.54	11.72	10.90	0.10	0.10	−30.77
456s	FALCON-TOPO-X	112	3.35	5.14	11.72	5.90	6.53	0.06	0.06	−36.42
124s	PconsD	111	0.89	−0.42	14.28	8.15	5.73	0.05	0.05	0.36
348s	Phyre2_A	112	7.88	5.33	2.20	6.29	5.43	0.05	0.05	−82.57
413s	ZHOU-SPARKS-X	112	−3.20	−5.76	11.41	8.48	2.73	0.02	0.02	−68.11

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 112 hsAUs.