Viewer - CASP13

PFRMAT RR
TARGET T1014
AUTHOR 7772-5946-8293
METHOD Residue contact map prediction using deep neural network
METHOD -------------
MODEL  1
SLAPVDIEGLLRQVAELMSPRAHEKGIEIAWAVSSPLPTILADEGRLRQI
LLNFAGNAVKFTEAGGVLLTASAIDGGRVRFSVADTGPGVAPDARARIFE
AFVQTDVTHATQLGGAGLGLAIVSRLSAAMGGAVGVGGELGQGAEFWFEA
PFATAAAPLRAAPLEGRNVAIASPNAIVRAATARQIEAAGGRAYAAVDIA
SALAGAPADAVLLIDAALSGPRGALKPPAGRRSVVLLTPEQRDRIDRLKA
AGFSGYLIKPLRAASLVAQVLQAVTA
171	195	0	8	1.000000
170	194	0	8	0.999968
136	146	0	8	0.999940
169	193	0	8	0.999902
135	147	0	8	0.999891
137	145	0	8	0.999792
83	146	0	8	0.999764
81	148	0	8	0.999757
171	194	0	8	0.999747
169	194	0	8	0.999724
134	148	0	8	0.999696
82	147	0	8	0.999682
172	196	0	8	0.999645
214	236	0	8	0.999583
5	40	0	8	0.999536
138	144	0	8	0.999497
4	41	0	8	0.999487
80	149	0	8	0.999444
84	145	0	8	0.999427
171	196	0	8	0.999414
170	196	0	8	0.999313
215	237	0	8	0.999311
213	235	0	8	0.999284
71	81	0	8	0.999264
79	150	0	8	0.999254
70	82	0	8	0.999192
136	145	0	8	0.999192
168	192	0	8	0.999192
69	83	0	8	0.999122
83	145	0	8	0.999085
134	147	0	8	0.999070
169	192	0	8	0.998996
72	80	0	8	0.998979
171	193	0	8	0.998962
133	149	0	8	0.998847
135	146	0	8	0.998763
132	150	0	8	0.998690
132	149	0	8	0.998673
68	84	0	8	0.998599
171	182	0	8	0.998594
85	144	0	8	0.998572
214	235	0	8	0.998428
173	179	0	8	0.998401
81	147	0	8	0.998248
82	146	0	8	0.998220
80	148	0	8	0.998212
169	191	0	8	0.998167
236	256	0	8	0.998158
50	126	0	8	0.998141
4	39	0	8	0.998081
73	79	0	8	0.998031
136	144	0	8	0.998026
6	39	0	8	0.998022
236	257	0	8	0.997947
170	202	0	8	0.997789
186	193	0	8	0.997788
3	42	0	8	0.997714
69	82	0	8	0.997670
237	257	0	8	0.997644
214	237	0	8	0.997568
67	84	0	8	0.997525
137	144	0	8	0.997521
71	79	0	8	0.997515
167	191	0	8	0.997512
212	234	0	8	0.997403
69	81	0	8	0.997360
169	186	0	8	0.997346
71	80	0	8	0.997340
212	235	0	8	0.997330
196	202	0	8	0.997314
168	194	0	8	0.997300
5	42	0	8	0.997296
2	43	0	8	0.997284
70	81	0	8	0.997156
179	195	0	8	0.997052
78	149	0	8	0.997042
80	147	0	8	0.996967
79	149	0	8	0.996925
172	202	0	8	0.996836
234	254	0	8	0.996789
4	40	0	8	0.996762
235	255	0	8	0.996568
214	234	0	8	0.996537
14	51	0	8	0.996498
183	193	0	8	0.996480
3	41	0	8	0.996468
216	236	0	8	0.996425
216	237	0	8	0.996321
134	146	0	8	0.996302
133	148	0	8	0.996144
82	145	0	8	0.996119
236	255	0	8	0.996103
127	134	0	8	0.996087
236	253	0	8	0.995890
84	144	0	8	0.995818
78	150	0	8	0.995805
78	151	0	8	0.995655
67	85	0	8	0.995594
216	238	0	8	0.995520
2	42	0	8	0.995445
235	257	0	8	0.995225
213	237	0	8	0.995169
167	192	0	8	0.994943
170	211	0	8	0.994907
171	179	0	8	0.994888
72	79	0	8	0.994700
123	134	0	8	0.994631
68	83	0	8	0.994151
22	29	0	8	0.994046
172	199	0	8	0.994032
5	39	0	8	0.994018
127	132	0	8	0.993815
138	143	0	8	0.993507
22	27	0	8	0.993479
165	190	0	8	0.993231
234	253	0	8	0.993192
66	86	0	8	0.992552
132	148	0	8	0.992537
173	197	0	8	0.992422
235	253	0	8	0.992091
1	43	0	8	0.991855
235	254	0	8	0.991596
67	83	0	8	0.991531
164	189	0	8	0.991496
46	126	0	8	0.991186
2	41	0	8	0.991181
50	123	0	8	0.991081
14	52	0	8	0.990978
7	40	0	8	0.990936
10	47	0	8	0.990799
171	183	0	8	0.990593
235	256	0	8	0.990006
85	143	0	8	0.989967
6	38	0	8	0.989685
238	258	0	8	0.989337
58	85	0	8	0.989274
54	146	0	8	0.989270
233	254	0	8	0.989207
164	191	0	8	0.989063
74	80	0	8	0.988318
95	136	0	8	0.987971
211	233	0	8	0.987880
77	152	0	8	0.987761
18	55	0	8	0.987603
168	191	0	8	0.987244
30	68	0	8	0.986942
170	212	0	8	0.986659
164	190	0	8	0.986610
130	150	0	8	0.986061
174	215	0	8	0.985966
255	269	0	8	0.985651
187	193	0	8	0.985481
3	44	0	8	0.985451
174	197	0	8	0.985270
183	195	0	8	0.985148
18	29	0	8	0.984987
79	152	0	8	0.984973
212	233	0	8	0.984887
46	130	0	8	0.984755
172	213	0	8	0.984724
170	210	0	8	0.984460
169	210	0	8	0.983917
257	266	0	8	0.983677
238	259	0	8	0.983578
10	51	0	8	0.983375
127	148	0	8	0.983264
172	214	0	8	0.983087
53	119	0	8	0.982839
166	191	0	8	0.982572
131	150	0	8	0.982553
10	48	0	8	0.982330
217	239	0	8	0.982285
215	239	0	8	0.981965
8	33	0	8	0.981908
171	212	0	8	0.981689
19	29	0	8	0.981463
15	31	0	8	0.981411
77	151	0	8	0.981393
87	143	0	8	0.981339
7	38	0	8	0.981255
14	48	0	8	0.981254
11	51	0	8	0.981179
50	127	0	8	0.980746
127	150	0	8	0.980506
90	144	0	8	0.980456
127	133	0	8	0.979812
67	86	0	8	0.979749
5	47	0	8	0.979423
29	67	0	8	0.979379
58	83	0	8	0.979314
186	191	0	8	0.979270
89	140	0	8	0.978955
211	232	0	8	0.978784
173	195	0	8	0.978530
54	83	0	8	0.978455
211	234	0	8	0.978275
172	198	0	8	0.978158
236	248	0	8	0.977808
166	190	0	8	0.977049
11	31	0	8	0.976530
15	29	0	8	0.976479
11	33	0	8	0.976336
254	273	0	8	0.976158
49	126	0	8	0.976100
215	238	0	8	0.975937
170	195	0	8	0.975916
168	209	0	8	0.975676
40	79	0	8	0.975641
31	69	0	8	0.975615
53	123	0	8	0.975551
1	44	0	8	0.975337
173	178	0	8	0.974828
98	136	0	8	0.974715
173	214	0	8	0.974579
46	129	0	8	0.974565
257	265	0	8	0.974481
248	256	0	8	0.974458
61	87	0	8	0.974419
65	86	0	8	0.974045
14	55	0	8	0.973731
245	256	0	8	0.973565
168	208	0	8	0.973005
132	151	0	8	0.972750
50	148	0	8	0.972691
90	140	0	8	0.972666
237	259	0	8	0.972608
165	191	0	8	0.972399
196	201	0	8	0.972175
173	215	0	8	0.972025
30	67	0	8	0.971914
47	130	0	8	0.971804
172	212	0	8	0.971730
210	232	0	8	0.971581
166	192	0	8	0.971364
22	59	0	8	0.971066
32	70	0	8	0.971033
78	152	0	8	0.970548
90	138	0	8	0.970391
86	143	0	8	0.970203
62	86	0	8	0.969991
42	130	0	8	0.969819
40	152	0	8	0.969689
257	269	0	8	0.969343
88	143	0	8	0.968943
32	71	0	8	0.968760
85	145	0	8	0.968710
239	259	0	8	0.968488
189	267	0	8	0.968395
248	253	0	8	0.968374
237	256	0	8	0.967805
3	43	0	8	0.967140
89	141	0	8	0.967059
124	134	0	8	0.966680
211	235	0	8	0.966550
33	71	0	8	0.966461
62	87	0	8	0.965947
172	211	0	8	0.965860
84	143	0	8	0.965847
169	211	0	8	0.965735
30	69	0	8	0.965421
73	78	0	8	0.965319
169	212	0	8	0.965316
89	144	0	8	0.964857
185	263	0	8	0.964716
170	208	0	8	0.963385
91	140	0	8	0.962797
28	67	0	8	0.962784
170	206	0	8	0.962551
54	123	0	8	0.962086
90	98	0	8	0.962081
95	138	0	8	0.961430
74	79	0	8	0.961378
51	81	0	8	0.961258
66	85	0	8	0.961000
165	189	0	8	0.959614
199	218	0	8	0.957995
237	258	0	8	0.957386
199	220	0	8	0.957201
88	141	0	8	0.957107
199	221	0	8	0.956339
99	134	0	8	0.955524
73	80	0	8	0.955438
213	234	0	8	0.955237
27	62	0	8	0.954759
216	239	0	8	0.954635
172	195	0	8	0.954361
237	261	0	8	0.954336
28	66	0	8	0.954097
173	196	0	8	0.953285
174	218	0	8	0.952911
171	186	0	8	0.952334
170	193	0	8	0.951417
90	95	0	8	0.950966
22	28	0	8	0.950850
138	145	0	8	0.950640
235	269	0	8	0.950192
234	252	0	8	0.949956
6	40	0	8	0.949910
234	255	0	8	0.948476
198	220	0	8	0.948444
6	37	0	8	0.948144
5	41	0	8	0.947911
55	69	0	8	0.947865
57	85	0	8	0.947235
88	142	0	8	0.947164
69	84	0	8	0.946318
99	124	0	8	0.946277
50	130	0	8	0.946092
172	197	0	8	0.946066
210	233	0	8	0.945465
38	79	0	8	0.945123
40	150	0	8	0.944526
25	59	0	8	0.943922
238	257	0	8	0.943682
2	44	0	8	0.943640
29	69	0	8	0.943636
173	182	0	8	0.943344
176	197	0	8	0.943059
130	151	0	8	0.942846
200	220	0	8	0.942558
32	69	0	8	0.942526
83	147	0	8	0.942395
34	72	0	8	0.942075
53	122	0	8	0.941801
98	120	0	8	0.941743
99	136	0	8	0.941564
99	120	0	8	0.941157
99	121	0	8	0.940901
216	248	0	8	0.940899
61	85	0	8	0.940417
136	147	0	8	0.939969
81	149	0	8	0.939449
169	209	0	8	0.939385
174	198	0	8	0.939314
171	211	0	8	0.938914
18	56	0	8	0.938532
209	232	0	8	0.938462
18	52	0	8	0.938194
57	119	0	8	0.937868
238	256	0	8	0.937270
217	238	0	8	0.937241
168	210	0	8	0.936934
62	85	0	8	0.936304
58	67	0	8	0.935645
131	151	0	8	0.935325
212	232	0	8	0.935221
137	147	0	8	0.934050
42	47	0	8	0.933971
81	150	0	8	0.932591
7	81	0	8	0.931934
7	39	0	8	0.931213
7	33	0	8	0.931053
216	244	0	8	0.930879
164	270	0	8	0.930693
134	149	0	8	0.930663
15	55	0	8	0.930160
7	37	0	8	0.929852
32	68	0	8	0.929781
31	68	0	8	0.929702
255	273	0	8	0.928896
171	213	0	8	0.928252
168	193	0	8	0.927567
82	148	0	8	0.927478
27	67	0	8	0.926364
208	232	0	8	0.926272
239	258	0	8	0.925708
58	144	0	8	0.925128
4	42	0	8	0.925104
43	130	0	8	0.924848
13	48	0	8	0.924673
72	82	0	8	0.924634
187	192	0	8	0.924418
89	143	0	8	0.923413
10	42	0	8	0.923367
27	59	0	8	0.922893
179	197	0	8	0.922236
27	65	0	8	0.922172
172	215	0	8	0.921998
88	140	0	8	0.921910
135	148	0	8	0.921897
92	138	0	8	0.921579
128	133	0	8	0.919827
98	146	0	8	0.918304
167	274	0	8	0.918261
72	81	0	8	0.918104
21	59	0	8	0.918056
89	142	0	8	0.917339
196	205	0	8	0.917215
31	71	0	8	0.916652
51	83	0	8	0.916500
89	138	0	8	0.916152
39	79	0	8	0.915674
65	87	0	8	0.915372
27	66	0	8	0.914735
200	221	0	8	0.914187
49	122	0	8	0.913825
101	121	0	8	0.912767
17	52	0	8	0.912486
171	214	0	8	0.912459
5	44	0	8	0.911756
173	213	0	8	0.911535
71	82	0	8	0.911401
189	270	0	8	0.910106
84	146	0	8	0.909541
209	231	0	8	0.909040
61	144	0	8	0.908043
235	270	0	8	0.907996
12	31	0	8	0.907204
80	150	0	8	0.907182
28	65	0	8	0.907108
68	86	0	8	0.906049
225	251	0	8	0.905030
215	236	0	8	0.904251
182	193	0	8	0.903964
29	68	0	8	0.902896
77	153	0	8	0.902052
235	266	0	8	0.901010
92	140	0	8	0.900794
164	271	0	8	0.900492
233	255	0	8	0.900446
102	118	0	8	0.900324
29	66	0	8	0.898787
33	72	0	8	0.898733
11	71	0	8	0.898639
137	146	0	8	0.898476
173	218	0	8	0.898039
33	70	0	8	0.897918
8	37	0	8	0.897825
123	148	0	8	0.897629
236	245	0	8	0.897183
54	148	0	8	0.897089
30	66	0	8	0.897048
224	251	0	8	0.895553
102	121	0	8	0.895424
164	274	0	8	0.895272
180	195	0	8	0.893634
167	190	0	8	0.893343
164	186	0	8	0.893115
62	67	0	8	0.892999
199	214	0	8	0.891516
242	258	0	8	0.890516
58	146	0	8	0.890391
182	261	0	8	0.890168
40	151	0	8	0.889728
208	231	0	8	0.889439
41	153	0	8	0.889214
238	245	0	8	0.888365
233	273	0	8	0.888133
261	266	0	8	0.887738
51	69	0	8	0.887600
43	129	0	8	0.886305
65	85	0	8	0.886289
210	231	0	8	0.885629
42	150	0	8	0.885296
139	145	0	8	0.883919
240	259	0	8	0.882824
211	270	0	8	0.882751
55	83	0	8	0.882593
210	274	0	8	0.882336
133	150	0	8	0.881561
40	153	0	8	0.881186
57	87	0	8	0.880933
70	83	0	8	0.880601
47	126	0	8	0.880228
61	88	0	8	0.880081
102	117	0	8	0.880018
191	270	0	8	0.879639
7	47	0	8	0.879109
61	86	0	8	0.877996
241	258	0	8	0.877921
182	213	0	8	0.877091
240	258	0	8	0.876968
185	267	0	8	0.876966
174	217	0	8	0.876786
102	116	0	8	0.876005
178	215	0	8	0.875483
59	67	0	8	0.872946
172	218	0	8	0.872403
123	146	0	8	0.869932
194	206	0	8	0.869552
218	223	0	8	0.869200
58	87	0	8	0.868590
186	266	0	8	0.867999
213	236	0	8	0.867765
213	266	0	8	0.867154
70	84	0	8	0.867002
61	104	0	8	0.866785
8	35	0	8	0.865949
38	77	0	8	0.864966
25	62	0	8	0.863677
35	72	0	8	0.863156
51	71	0	8	0.863075
169	208	0	8	0.862912
31	70	0	8	0.862548
35	73	0	8	0.862087
27	64	0	8	0.861850
167	209	0	8	0.861760
164	267	0	8	0.861680
210	270	0	8	0.859222
239	260	0	8	0.859190
27	58	0	8	0.859138
47	150	0	8	0.858932
95	137	0	8	0.858634
87	144	0	8	0.858244
39	155	0	8	0.857596
208	230	0	8	0.857539
54	69	0	8	0.857287
41	130	0	8	0.855817
99	146	0	8	0.855382
68	85	0	8	0.855115
178	259	0	8	0.854616
185	266	0	8	0.853325
172	179	0	8	0.852825
26	65	0	8	0.852234
10	44	0	8	0.851296
40	130	0	8	0.850604
1	45	0	8	0.850314
214	225	0	8	0.849926
40	78	0	8	0.848998
139	144	0	8	0.848412
7	79	0	8	0.847678
23	28	0	8	0.847500
36	73	0	8	0.846504
163	189	0	8	0.846254
53	120	0	8	0.846089
101	118	0	8	0.844635
199	223	0	8	0.843929
213	270	0	8	0.843336
199	226	0	8	0.843190
22	55	0	8	0.843114
5	10	0	8	0.842785
249	256	0	8	0.842424
37	73	0	8	0.840727
34	71	0	8	0.840513
89	139	0	8	0.839649
57	117	0	8	0.838607
79	151	0	8	0.837449
101	117	0	8	0.836317
194	205	0	8	0.835802
41	152	0	8	0.835722
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115	192	0	8	0.002032
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13	94	0	8	0.002031
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195	230	0	8	0.002030
22	91	0	8	0.002029
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125	256	0	8	0.002028
133	192	0	8	0.002028
23	129	0	8	0.002027
45	191	0	8	0.002027
58	194	0	8	0.002027
241	267	0	8	0.002027
8	93	0	8	0.002026
26	134	0	8	0.002025
132	177	0	8	0.002025
195	234	0	8	0.002025
31	42	0	8	0.002024
39	105	0	8	0.002024
40	190	0	8	0.002024
81	241	0	8	0.002023
113	129	0	8	0.002023
128	180	0	8	0.002023
142	166	0	8	0.002023
144	165	0	8	0.002023
197	207	0	8	0.002023
75	197	0	8	0.002022
28	109	0	8	0.002020
48	246	0	8	0.002020
64	182	0	8	0.002020
68	133	0	8	0.002020
167	249	0	8	0.002020
18	135	0	8	0.002019
18	243	0	8	0.002018
67	160	0	8	0.002018
14	204	0	8	0.002017
20	202	0	8	0.002017
36	238	0	8	0.002017
45	197	0	8	0.002017
62	70	0	8	0.002016
110	149	0	8	0.002016
136	197	0	8	0.002016
162	256	0	8	0.002016
13	236	0	8	0.002015
63	180	0	8	0.002015
68	264	0	8	0.002015
72	185	0	8	0.002014
101	138	0	8	0.002014
179	225	0	8	0.002014
5	145	0	8	0.002013
12	157	0	8	0.002013
23	94	0	8	0.002013
26	158	0	8	0.002012
43	190	0	8	0.002012
73	113	0	8	0.002012
16	232	0	8	0.002011
40	272	0	8	0.002011
92	193	0	8	0.002011
103	143	0	8	0.002011
119	183	0	8	0.002010
27	149	0	8	0.002009
80	174	0	8	0.002009
80	197	0	8	0.002009
162	239	0	8	0.002009
210	252	0	8	0.002009
15	249	0	8	0.002007
19	180	0	8	0.002007
24	218	0	8	0.002007
31	198	0	8	0.002007
33	179	0	8	0.002007
218	229	0	8	0.002007
21	135	0	8	0.002005
24	131	0	8	0.002005
28	170	0	8	0.002005
44	52	0	8	0.002005
50	67	0	8	0.002005
140	191	0	8	0.002005
148	242	0	8	0.002005
91	194	0	8	0.002003
126	247	0	8	0.002003
12	83	0	8	0.002002
167	248	0	8	0.002002
201	234	0	8	0.002002
226	242	0	8	0.002002
12	204	0	8	0.002000
15	135	0	8	0.002000
21	120	0	8	0.002000
95	192	0	8	0.002000
134	145	0	8	0.002000
14	229	0	8	0.001999
263	276	0	8	0.001999
29	239	0	8	0.001997
120	249	0	8	0.001997
193	235	0	8	0.001997
225	267	0	8	0.001997
248	259	0	8	0.001997
21	83	0	8	0.001996
27	252	0	8	0.001995
33	65	0	8	0.001995
72	249	0	8	0.001995
76	180	0	8	0.001995
111	193	0	8	0.001995
116	192	0	8	0.001995
148	159	0	8	0.001995
61	187	0	8	0.001993
78	110	0	8	0.001993
83	188	0	8	0.001993
135	174	0	8	0.001993
11	57	0	8	0.001992
23	142	0	8	0.001992
44	121	0	8	0.001991
110	171	0	8	0.001991
124	187	0	8	0.001991
202	267	0	8	0.001991
24	167	0	8	0.001990
26	155	0	8	0.001990
55	245	0	8	0.001989
83	174	0	8	0.001989
106	137	0	8	0.001989
141	188	0	8	0.001989
16	215	0	8	0.001988
21	170	0	8	0.001988
77	109	0	8	0.001988
122	249	0	8	0.001987
56	97	0	8	0.001986
71	144	0	8	0.001986
72	184	0	8	0.001986
232	266	0	8	0.001986
4	66	0	8	0.001985
12	82	0	8	0.001984
50	136	0	8	0.001984
139	194	0	8	0.001984
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END