PFRMAT QA
TARGET C1909
AUTHOR MULTICOM-CONSTRUCT
METHOD Improving the estimation of protein model quality with deep networks for global QA
METHOD -------------
MODEL 2
QMODE 1
C1909TS087_2	0.549631
C1909TS299_1	0.548958
C1909TS278_1	0.547783
C1909TS102_2	0.544213
C1909TS196_1	0.544018
C1909TS152_2	0.541923
C1909TS247_4	0.539391
C1909TS309_1	0.536985
C1909TS278_4	0.534713
C1909TS299_4	0.534523
C1909TS087_3	0.534291
C1909TS123_1	0.524790
C1909TS152_4	0.524388
C1909TS054_1	0.522816
C1909TS158_2	0.522366
C1909TS087_4	0.522278
C1909TS258_3	0.521471
C1909TS123_3	0.521441
C1909TS309_3	0.520793
C1909TS369_1	0.520736
C1909TS438_5	0.520550
C1909TS210_3	0.518945
C1909TS309_4	0.518241
C1909TS299_2	0.516930
C1909TS247_1	0.516770
C1909TS230_1	0.516756
C1909TS278_2	0.516732
C1909TS345_5	0.515827
C1909TS247_3	0.514347
C1909TS309_5	0.513199
C1909TS389_5	0.512722
C1909TS345_2	0.512702
C1909TS211_1	0.512257
C1909TS152_3	0.511926
C1909TS389_4	0.510935
C1909TS158_5	0.510876
C1909TS359_1	0.510826
C1909TS152_1	0.510798
C1909TS438_4	0.510309
C1909TS309_2	0.510233
C1909TS369_5	0.510037
C1909TS258_1	0.509876
C1909TS258_2	0.509312
C1909TS414_4	0.508712
C1909TS210_5	0.508478
C1909TS438_1	0.508265
C1909TS438_2	0.507673
C1909TS345_1	0.506674
C1909TS123_2	0.506642
C1909TS123_4	0.506074
C1909TS438_3	0.506028
C1909TS152_5	0.505628
C1909TS054_2	0.505140
C1909TS414_2	0.505108
C1909TS210_1	0.505064
C1909TS369_4	0.501441
C1909TS299_3	0.500058
C1909TS278_3	0.499848
C1909TS230_2	0.499745
C1909TS182_3	0.499444
C1909TS247_2	0.499079
C1909TS414_3	0.497327
C1909TS054_4	0.497058
C1909TS414_5	0.494121
C1909TS200_1	0.494025
C1909TS182_1	0.493209
C1909TS230_3	0.493076
C1909TS369_3	0.492065
C1909TS123_5	0.491000
C1909TS258_5	0.490557
C1909TS182_5	0.488335
C1909TS347_1	0.487883
C1909TS413_5	0.486472
C1909TS182_4	0.485576
C1909TS182_2	0.485542
C1909TS054_5	0.485206
C1909TS240_2	0.484843
C1909TS278_5	0.483958
C1909TS299_5	0.483276
C1909TS258_4	0.483036
C1909TS345_4	0.481483
C1909TS215_2	0.478463
C1909TS389_1	0.478344
C1909TS066_1	0.478209
C1909TS414_1	0.477412
C1909TS345_3	0.477258
C1909TS413_2	0.475838
C1909TS389_2	0.474484
C1909TS215_4	0.471956
C1909TS404_1	0.466481
C1909TS054_3	0.461551
C1909TS215_1	0.460490
C1909TS389_3	0.459353
C1909TS404_3	0.459279
C1909TS230_5	0.458317
C1909TS102_1	0.455759
C1909TS103_1	0.455516
C1909TS413_1	0.455264
C1909TS405_5	0.455162
C1909TS405_1	0.454056
C1909TS158_4	0.452398
C1909TS405_3	0.451854
C1909TS404_5	0.450263
C1909TS404_4	0.450057
C1909TS230_4	0.449479
C1909TS247_5	0.446682
C1909TS413_4	0.445365
C1909TS405_2	0.444557
C1909TS273_4	0.444107
C1909TS131_2	0.443954
C1909TS010_2	0.442540
C1909TS369_2	0.442358
C1909TS215_5	0.441356
C1909TS211_2	0.441341
C1909TS067_5	0.441201
C1909TS405_4	0.440792
C1909TS349_5	0.440508
C1909TS067_1	0.439814
C1909TS066_2	0.437678
C1909TS349_2	0.437204
C1909TS349_1	0.437141
C1909TS067_2	0.435941
C1909TS228_2	0.434046
C1909TS349_4	0.433810
C1909TS349_3	0.433349
C1909TS228_3	0.433069
C1909TS010_1	0.432838
C1909TS404_2	0.431089
C1909TS228_5	0.430977
C1909TS228_1	0.429144
C1909TS228_4	0.428300
C1909TS131_4	0.427351
C1909TS131_3	0.427095
C1909TS210_2	0.426850
C1909TS073_2	0.425705
C1909TS131_1	0.425503
C1909TS131_5	0.424224
C1909TS210_4	0.423687
C1909TS413_3	0.422157
C1909TS003_3	0.422118
C1909TS273_3	0.421243
C1909TS073_1	0.421169
C1909TS215_3	0.420915
C1909TS010_5	0.420011
C1909TS073_5	0.419954
C1909TS240_5	0.417178
C1909TS044_1	0.411932
C1909TS301_1	0.411613
C1909TS073_3	0.411049
C1909TS073_4	0.409724
C1909TS273_1	0.406725
C1909TS158_3	0.404417
C1909TS240_4	0.403833
C1909TS240_3	0.402886
C1909TS087_1	0.400828
C1909TS273_5	0.394397
C1909TS010_4	0.393280
C1909TS067_3	0.392815
C1909TS240_1	0.391854
C1909TS211_4	0.389136
C1909TS010_3	0.388127
C1909TS211_3	0.387760
C1909TS273_2	0.381668
C1909TS211_5	0.380167
C1909TS158_1	0.369994
C1909TS067_4	0.362505
C1909TS003_2	0.361147
C1909TS003_1	0.347491
END



