PFRMAT QA
TARGET C1901
AUTHOR MULTICOM-CONSTRUCT
METHOD Improving the estimation of protein model quality with deep networks for global QA
METHOD -------------
MODEL 2
QMODE 1
C1901TS156_1	0.176849
C1901TS156_5	0.173010
C1901TS156_4	0.172419
C1901TS152_3	0.172092
C1901TS131_3	0.169922
C1901TS156_3	0.169038
C1901TS131_4	0.168832
C1901TS215_4	0.168473
C1901TS156_2	0.168404
C1901TS131_5	0.168260
C1901TS152_1	0.168251
C1901TS131_2	0.166753
C1901TS044_1	0.165985
C1901TS215_1	0.165253
C1901TS228_1	0.164765
C1901TS215_3	0.163999
C1901TS215_5	0.163626
C1901TS131_1	0.163138
C1901TS369_1	0.162277
C1901TS215_2	0.161585
C1901TS152_2	0.161079
C1901TS273_1	0.161039
C1901TS414_3	0.160182
C1901TS413_5	0.160124
C1901TS273_3	0.159371
C1901TS414_5	0.157784
C1901TS369_3	0.156332
C1901TS413_1	0.154764
C1901TS413_3	0.154346
C1901TS273_2	0.154094
C1901TS369_2	0.153960
C1901TS414_2	0.153521
C1901TS152_5	0.152038
C1901TS152_4	0.151372
C1901TS369_4	0.151106
C1901TS369_5	0.150447
C1901TS240_4	0.149758
C1901TS414_1	0.148599
C1901TS414_4	0.146762
C1901TS211_1	0.146715
C1901TS240_2	0.146460
C1901TS438_2	0.143525
C1901TS438_5	0.143404
C1901TS438_4	0.143325
C1901TS438_1	0.143310
C1901TS210_2	0.142869
C1901TS210_1	0.140902
C1901TS413_4	0.140680
C1901TS413_2	0.140630
C1901TS438_3	0.139445
C1901TS240_3	0.138996
C1901TS240_1	0.138176
C1901TS299_1	0.138038
C1901TS087_3	0.137173
C1901TS087_2	0.136789
C1901TS210_4	0.136567
C1901TS405_2	0.136409
C1901TS405_5	0.136329
C1901TS258_5	0.135893
C1901TS240_5	0.135840
C1901TS258_3	0.135098
C1901TS299_2	0.134755
C1901TS309_4	0.133833
C1901TS405_4	0.133542
C1901TS210_3	0.133301
C1901TS196_1	0.133166
C1901TS405_1	0.133082
C1901TS210_5	0.132486
C1901TS309_3	0.132466
C1901TS087_1	0.131857
C1901TS405_3	0.131657
C1901TS309_1	0.131648
C1901TS299_3	0.131404
C1901TS258_4	0.131179
C1901TS359_1	0.127993
C1901TS309_5	0.127369
C1901TS258_2	0.126358
C1901TS247_1	0.125969
C1901TS247_2	0.124121
C1901TS258_1	0.123737
C1901TS247_4	0.123506
C1901TS067_4	0.123130
C1901TS123_4	0.122865
C1901TS123_5	0.122865
C1901TS067_2	0.122638
C1901TS123_3	0.122145
C1901TS067_1	0.121560
C1901TS247_5	0.121315
C1901TS389_5	0.120135
C1901TS123_2	0.119957
C1901TS211_2	0.119829
C1901TS389_1	0.119672
C1901TS067_5	0.119662
C1901TS067_3	0.119607
C1901TS158_2	0.119424
C1901TS278_2	0.119424
C1901TS182_3	0.119183
C1901TS200_1	0.119094
C1901TS389_3	0.118955
C1901TS182_1	0.118622
C1901TS158_3	0.118090
C1901TS278_3	0.118090
C1901TS158_4	0.117846
C1901TS278_4	0.117846
C1901TS389_2	0.117802
C1901TS247_3	0.117448
C1901TS182_5	0.116452
C1901TS123_1	0.115817
C1901TS158_1	0.115658
C1901TS278_1	0.115658
C1901TS211_3	0.115651
C1901TS158_5	0.115297
C1901TS278_5	0.115297
C1901TS347_1	0.114072
C1901TS066_1	0.113434
C1901TS389_4	0.111937
C1901TS003_3	0.111153
C1901TS211_4	0.110611
C1901TS003_2	0.109891
C1901TS309_2	0.109871
C1901TS211_5	0.109427
C1901TS103_1	0.109132
C1901TS490_1	0.108862
C1901TS003_1	0.107956
C1901TS273_4	0.106674
C1901TS182_2	0.103357
C1901TS182_4	0.102189
END



