PFRMAT QA
TARGET C1903
AUTHOR MULTICOM-CONSTRUCT
METHOD Improving the estimation of protein model quality with deep networks for global QA
METHOD -------------
MODEL 2
QMODE 1
C1903TS131_3	0.216839
C1903TS131_5	0.215883
C1903TS131_4	0.215724
C1903TS278_1	0.213501
C1903TS299_1	0.213501
C1903TS438_3	0.212807
C1903TS278_2	0.212324
C1903TS299_2	0.212324
C1903TS438_1	0.211636
C1903TS131_2	0.211089
C1903TS131_1	0.210725
C1903TS438_4	0.210560
C1903TS152_3	0.209294
C1903TS438_2	0.208217
C1903TS438_5	0.208002
C1903TS210_2	0.206476
C1903TS278_4	0.205853
C1903TS299_4	0.205504
C1903TS152_1	0.205032
C1903TS247_1	0.203910
C1903TS152_2	0.203000
C1903TS301_1	0.202537
C1903TS044_1	0.202190
C1903TS278_5	0.201313
C1903TS299_5	0.201313
C1903TS247_2	0.201197
C1903TS369_4	0.200544
C1903TS413_3	0.200251
C1903TS247_4	0.199860
C1903TS278_3	0.199362
C1903TS299_3	0.199362
C1903TS413_5	0.199182
C1903TS210_5	0.196604
C1903TS405_3	0.195773
C1903TS413_1	0.195146
C1903TS152_4	0.193156
C1903TS228_1	0.193156
C1903TS210_3	0.193118
C1903TS369_1	0.193058
C1903TS273_1	0.192859
C1903TS210_1	0.191317
C1903TS211_5	0.191293
C1903TS215_4	0.190968
C1903TS413_2	0.190946
C1903TS413_4	0.190562
C1903TS405_4	0.189416
C1903TS273_3	0.188832
C1903TS369_5	0.187954
C1903TS309_3	0.186910
C1903TS210_4	0.186700
C1903TS240_5	0.186686
C1903TS273_2	0.186317
C1903TS414_4	0.185515
C1903TS389_4	0.185131
C1903TS405_1	0.184531
C1903TS369_2	0.184342
C1903TS309_4	0.183104
C1903TS240_4	0.183019
C1903TS414_2	0.182935
C1903TS215_1	0.182822
C1903TS240_3	0.182487
C1903TS240_2	0.182474
C1903TS247_3	0.182377
C1903TS152_5	0.182286
C1903TS414_3	0.182256
C1903TS087_2	0.181570
C1903TS215_3	0.180245
C1903TS247_5	0.179743
C1903TS087_1	0.179052
C1903TS087_3	0.178995
C1903TS196_1	0.178356
C1903TS414_1	0.177824
C1903TS359_1	0.177801
C1903TS211_4	0.177716
C1903TS309_2	0.177147
C1903TS240_1	0.177019
C1903TS215_5	0.176983
C1903TS309_5	0.176073
C1903TS414_5	0.175992
C1903TS156_3	0.175037
C1903TS156_2	0.174343
C1903TS156_1	0.174109
C1903TS156_4	0.173961
C1903TS156_5	0.173353
C1903TS215_2	0.170515
C1903TS405_5	0.170352
C1903TS309_1	0.170117
C1903TS211_1	0.167752
C1903TS211_3	0.164096
C1903TS230_4	0.159686
C1903TS405_2	0.157933
C1903TS073_3	0.155073
C1903TS200_1	0.154813
C1903TS230_5	0.151968
C1903TS073_5	0.151633
C1903TS389_2	0.151599
C1903TS270_1	0.150994
C1903TS073_4	0.150872
C1903TS258_1	0.150239
C1903TS230_2	0.150138
C1903TS389_1	0.149543
C1903TS073_1	0.148359
C1903TS073_2	0.147362
C1903TS182_5	0.147207
C1903TS182_3	0.146976
C1903TS182_1	0.146712
C1903TS404_5	0.145130
C1903TS158_5	0.144337
C1903TS404_1	0.143711
C1903TS404_3	0.142473
C1903TS003_1	0.141101
C1903TS404_2	0.140868
C1903TS066_1	0.140608
C1903TS369_3	0.140217
C1903TS404_4	0.139240
C1903TS258_4	0.139051
C1903TS123_1	0.139011
C1903TS123_4	0.138664
C1903TS123_5	0.138664
C1903TS123_3	0.138128
C1903TS230_3	0.138050
C1903TS123_2	0.137897
C1903TS258_5	0.137321
C1903TS158_4	0.136428
C1903TS230_1	0.135580
C1903TS067_3	0.135487
C1903TS067_4	0.135113
C1903TS211_2	0.135080
C1903TS258_3	0.135012
C1903TS158_3	0.134472
C1903TS258_2	0.133646
C1903TS389_5	0.133312
C1903TS003_3	0.132009
C1903TS103_1	0.131764
C1903TS347_1	0.131373
C1903TS003_2	0.131098
C1903TS158_1	0.130718
C1903TS102_1	0.129104
C1903TS103_2	0.129104
C1903TS158_2	0.127243
C1903TS182_2	0.125663
C1903TS182_4	0.125220
C1903TS389_3	0.120915
C1903TS067_1	0.119760
C1903TS067_2	0.119760
C1903TS067_5	0.118575
END



