Results - EMDB

EM Model Challenge - 2019

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Comparative Analyses

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Global Accuracy

#	Model	Gr.Name	Method		Superposition-free measures (similarity of local geometric features)		Superposition-based measures (rigid body similarity)
#	Model	Gr.Name	ab-initio/ optimized	auto/ man.	LDDT	CAD	RMSD	GDT_TS	GDT_HA	GDC_ALL	GDC_SC
1	T0101EM041_2_A	arpwarp	ab-initio	auto	0.95	0.90	0.28	100.00	98.84	94.31	82.50
2	T0101EM060_1_A	deeptracer	ab-initio	auto	0.80	0.71	0.51	98.84	94.04	79.04	48.83
3	T0101EM082_1_A	rosetta	ab-initio	auto	0.95	0.90	0.28	99.42	98.26	94.72	86.52
4	T0101EM082_2_A	rosetta	ab-initio	auto	0.96	0.91	0.30	99.42	97.97	94.72	87.08
5	T0101EM025_1_A	cdmd	optimized	auto	0.90	0.87	0.46	99.71	93.03	89.16	75.78
6	T0101EM038_1_A	fzjuelich	optimized	auto	0.94	0.90	0.30	100.00	98.84	93.59	81.89
7	T0101EM073_1_A	singharoy	optimized	auto	0.94	0.90	0.30	100.00	98.69	93.83	83.35
8	T0101EM010_1_A	yu	ab-initio	man.	0.95	0.90	0.27	99.42	98.40	93.96	80.99
9	T0101EM028_1_A	ccpem	ab-initio	man.	0.96	0.91	0.30	100.00	98.69	94.77	83.93
10	T0101EM035_1_A	phenix	ab-initio	man.	0.95	0.90	0.27	100.00	99.27	93.83	79.50
11	T0101EM041_1_A	arpwarp	ab-initio	man.	0.95	0.90	0.31	99.86	98.25	94.02	81.65
12	T0101EM054_1_A	kihara	ab-initio	man.	0.65	0.63	2.25	82.41	70.64	56.34	43.68
13	T0101EM054_2_A	kihara	ab-initio	man.	0.85	0.82	1.74	93.46	88.81	73.50	64.29
14	T0101EM060_2_A	deeptracer	ab-initio	man.	0.79	0.72	0.89	94.33	79.36	71.24	49.29
15	T0101EM060_3_A	deeptracer	ab-initio	man.	0.78	0.73	0.77	95.93	82.41	73.74	51.47
16	T0101EM091_1_A	chiu	optimized	man.	0.98	0.92	0.28	100.00	98.84	96.21	89.29

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