PFRMAT QA
TARGET C1908
AUTHOR MULTICOM-CONSTRUCT
METHOD Improving the estimation of protein model quality with deep networks for global QA
METHOD -------------
MODEL 2
QMODE 1
C1908TS152_1	0.434060
C1908TS278_5	0.430842
C1908TS299_5	0.430842
C1908TS414_5	0.427553
C1908TS369_1	0.424847
C1908TS438_1	0.424546
C1908TS273_2	0.423830
C1908TS438_4	0.423284
C1908TS152_2	0.423259
C1908TS413_3	0.422555
C1908TS438_3	0.421829
C1908TS131_2	0.421702
C1908TS414_3	0.421128
C1908TS438_2	0.420793
C1908TS413_1	0.420387
C1908TS413_5	0.419955
C1908TS278_3	0.419200
C1908TS299_3	0.419200
C1908TS131_4	0.418367
C1908TS273_3	0.418009
C1908TS438_5	0.417588
C1908TS413_2	0.417209
C1908TS131_1	0.416730
C1908TS131_5	0.413544
C1908TS131_3	0.410492
C1908TS278_1	0.410225
C1908TS299_1	0.410225
C1908TS247_2	0.408622
C1908TS211_1	0.407456
C1908TS278_4	0.407381
C1908TS299_4	0.407381
C1908TS273_1	0.406077
C1908TS413_4	0.403591
C1908TS247_3	0.402948
C1908TS299_2	0.402219
C1908TS278_2	0.401898
C1908TS359_1	0.401070
C1908TS247_1	0.400557
C1908TS247_4	0.399920
C1908TS414_2	0.398945
C1908TS414_4	0.398549
C1908TS414_1	0.392963
C1908TS369_3	0.391770
C1908TS087_1	0.391360
C1908TS210_1	0.386871
C1908TS405_1	0.386392
C1908TS210_3	0.381571
C1908TS369_4	0.381431
C1908TS309_3	0.376225
C1908TS309_2	0.373906
C1908TS087_2	0.372307
C1908TS102_2	0.372042
C1908TS152_3	0.369681
C1908TS247_5	0.369071
C1908TS369_2	0.366888
C1908TS210_5	0.366253
C1908TS389_4	0.365837
C1908TS152_5	0.357700
C1908TS432_1	0.357080
C1908TS044_1	0.356654
C1908TS301_1	0.356654
C1908TS196_1	0.356411
C1908TS309_1	0.356156
C1908TS456_4	0.354699
C1908TS210_2	0.354613
C1908TS405_4	0.354135
C1908TS456_1	0.352906
C1908TS456_2	0.349179
C1908TS456_5	0.346852
C1908TS210_4	0.345941
C1908TS182_1	0.344861
C1908TS182_3	0.344582
C1908TS405_2	0.344040
C1908TS309_4	0.342913
C1908TS200_1	0.340917
C1908TS345_4	0.340065
C1908TS066_1	0.339582
C1908TS345_2	0.338528
C1908TS123_1	0.338082
C1908TS010_5	0.334617
C1908TS123_2	0.331620
C1908TS309_5	0.331412
C1908TS240_1	0.330391
C1908TS240_3	0.330200
C1908TS010_1	0.325981
C1908TS345_5	0.325362
C1908TS389_2	0.323635
C1908TS389_5	0.323105
C1908TS152_4	0.322308
C1908TS389_3	0.321320
C1908TS073_5	0.320116
C1908TS389_1	0.319045
C1908TS230_1	0.318667
C1908TS345_3	0.318237
C1908TS345_1	0.317151
C1908TS240_2	0.316804
C1908TS405_5	0.316625
C1908TS010_3	0.316111
C1908TS010_4	0.315458
C1908TS240_4	0.315319
C1908TS182_5	0.314813
C1908TS456_3	0.314094
C1908TS182_4	0.311937
C1908TS010_2	0.311747
C1908TS258_2	0.311575
C1908TS182_2	0.311500
C1908TS230_4	0.308540
C1908TS230_2	0.306575
C1908TS240_5	0.306267
C1908TS405_3	0.303646
C1908TS073_4	0.295884
C1908TS258_1	0.295049
C1908TS073_3	0.293399
C1908TS230_3	0.293164
C1908TS404_2	0.288808
C1908TS404_5	0.288252
C1908TS404_3	0.288051
C1908TS073_2	0.287855
C1908TS404_4	0.286660
C1908TS404_1	0.284968
C1908TS073_1	0.281411
C1908TS211_5	0.280112
C1908TS230_5	0.279764
C1908TS123_3	0.277669
C1908TS123_5	0.277669
C1908TS123_4	0.277282
C1908TS215_4	0.276189
C1908TS215_2	0.272770
C1908TS215_1	0.271791
C1908TS055_1	0.269813
C1908TS258_3	0.268937
C1908TS211_3	0.267016
C1908TS211_4	0.263882
C1908TS258_4	0.262412
C1908TS369_5	0.261716
C1908TS347_1	0.258294
C1908TS349_1	0.257464
C1908TS215_3	0.257422
C1908TS054_4	0.253152
C1908TS087_3	0.253126
C1908TS215_5	0.252639
C1908TS258_5	0.245575
C1908TS054_3	0.237157
C1908TS003_3	0.237069
C1908TS066_2	0.235920
C1908TS054_2	0.235149
C1908TS054_5	0.233971
C1908TS054_1	0.230868
C1908TS349_2	0.225401
C1908TS211_2	0.221177
C1908TS228_3	0.219881
C1908TS349_4	0.218976
C1908TS349_5	0.215797
C1908TS228_5	0.211809
C1908TS228_4	0.210462
C1908TS228_2	0.209999
C1908TS228_1	0.207488
C1908TS349_3	0.202159
C1908TS003_2	0.188058
C1908TS102_1	0.181782
C1908TS103_1	0.181782
C1908TS103_2	0.181782
C1908TS003_1	0.181747
C1908TS158_2	0.179974
C1908TS067_5	0.179785
C1908TS158_5	0.177205
C1908TS158_3	0.175202
C1908TS067_3	0.174306
C1908TS067_4	0.173918
C1908TS158_1	0.173543
C1908TS158_4	0.168370
C1908TS067_2	0.163613
C1908TS067_1	0.162665
END



