The cumulative observed model quality of the top ranked models produced by each method. The McGuffin group methods are indicated in bold. The ModFOLD servers did not participate in the TS category, however the cumulative scores for the top ranked models are are shown for comparison with server methods. The McGuffin results are from our manual TS predictions, which were made using a beta version of the ModFOLD v 2.0 method to select models. Methods are ranked by the combined score, which is the mean of the TM-score, MaxSub and GDT-TS scores.
Method	TM-score	MaxSub	GDT-TS	Combined
Zhang-Server	34.686	28.759	30.208	31.218
ModFOLDclust	34.539	28.687	30.202	31.143
McGuffin	34.316	28.363	29.898	30.859
Phyre_de_novo	33.808	27.695	29.565	30.356
pro-sp3-TASSER	33.923	27.694	29.357	30.324
RAPTOR	33.327	27.392	28.930	29.883
FAMSD	33.442	27.249	28.821	29.837
HHpred4	33.446	27.180	28.850	29.825
HHpred5	33.238	27.207	28.831	29.759
METATASSER	33.289	27.370	28.595	29.752
MULTICOM-CLUSTER	33.078	27.288	28.792	29.719
HHpred2	33.269	26.833	28.649	29.584
MUProt	33.005	27.028	28.628	29.554
BAKER-ROBETTA	33.074	26.949	28.579	29.534
MULTICOM-REFINE	32.879	26.989	28.569	29.479
MUSTER	32.977	26.738	28.456	29.391
MULTICOM-RANK	32.662	26.748	28.405	29.272
Phyre2	32.812	26.662	28.270	29.248
Phragment	32.760	26.519	28.230	29.169
Pcons_multi	32.722	26.542	28.186	29.150
SAM-T08-server	32.614	26.650	28.164	29.143
Poing	32.706	26.452	28.169	29.109
circle	32.541	26.608	28.097	29.082
PS2-server	32.387	26.412	28.193	28.997
COMA-M	32.397	26.295	28.194	28.962
GS-KudlatyPred	32.196	26.290	28.002	28.829
MULTICOM-CMFR	32.338	26.197	27.953	28.829
FFASsuboptimal	32.229	26.244	27.901	28.791
COMA	32.241	26.017	27.651	28.636
ModFOLDv1_1	31.917	26.190	27.647	28.585
mGenTHREADER	31.706	26.183	27.739	28.542
3D-JIGSAW_V3	31.936	26.001	27.562	28.500
GeneSilicoMetaServer	31.822	25.883	27.537	28.414
FFASstandard	31.612	25.839	27.373	28.275
FALCON	31.976	25.521	27.312	28.270
3DShot2	31.962	25.593	27.022	28.192
GS-MetaServer2	31.385	25.808	27.289	28.161
3D-JIGSAW_AEP	31.401	25.766	27.266	28.144
nFOLD3	31.418	25.644	27.234	28.099
FFASflextemplate	31.378	25.493	27.067	27.979
FEIG	31.708	25.311	26.882	27.967
PSI	31.534	25.122	26.859	27.838
SAM-T06-server	31.368	24.902	26.932	27.734
CpHModels	30.898	25.153	26.591	27.547
BioSerf	30.160	24.261	26.075	26.832
fais-server	30.341	23.947	25.807	26.698
FALCON_CONSENSUS	30.578	23.676	25.608	26.621
keasar-server	29.782	24.052	25.827	26.554
3Dpro	29.870	24.116	25.561	26.516
SAM-T02-server	29.515	24.164	25.648	26.442
Pcons_dot_net	29.145	23.688	25.196	26.010
panther_server	29.223	23.725	25.018	25.989
pipe_int	28.952	23.477	25.006	25.812
Pcons_local	28.905	23.266	24.940	25.704
FUGUE_KM	28.758	23.044	24.699	25.500
forecast	28.674	22.573	24.280	25.176
rehtnap	26.582	21.092	22.600	23.424
MUFOLD-Server	26.982	19.995	22.304	23.094
ACOMPMOD	25.888	19.481	21.438	22.269
Frankenstein	25.162	19.795	21.464	22.140
Distill	26.033	19.244	20.743	22.007
LEE-SERVER	23.712	19.957	20.924	21.531
Fiser-M4T	23.195	19.663	20.615	21.158
Pushchino	23.483	19.279	20.703	21.155
LOOPP_Server	22.686	17.353	19.009	19.683
YASARA	21.093	18.248	18.950	19.431
FOLDpro	20.821	14.316	16.635	17.258
mariner1	19.666	13.551	15.465	16.227
OLGAFS	17.599	13.880	15.273	15.584
MUFOLD-MD	15.353	9.419	11.643	12.138
huber-torda-server	12.429	9.848	10.852	11.043
RBO-Proteus	11.564	6.717	8.700	8.994
schenk-torda-server	7.090	3.017	4.557	4.888
mahmood-torda-server	3.827	1.862	2.887	2.858
Jiang_Zhu	2.110	1.656	1.845	1.870
LEE	0.849	0.769	0.799	0.805
DistillSN	1.023	0.330	0.650	0.668
HCA	0.413	0.246	0.351	0.337