Viewer - CASP13

PFRMAT RR
TARGET T0993s1
AUTHOR RaptorX-Contact
METHOD deep dilated residual networks (one variant of deep covolutional neural networks)
METHOD -------------
MODEL 1
MEQSVANLVDMRDVSFTRGNRCIFDNISLTVPRGKITAIMGPSGIGKTTL
LRLIGGQIAPDHGEILFDGENIPAMSRSRLYTVRKRMSMLFQSGALFTDM
NVFDNVAYPLREHTQLPAPLLHSTVMMKLEAVGLRGAAKLMPSELSGGMA
RRAALARAIALEPDLIMFDEPFVGQDPITMGVLVKLISELNSALGVTCVV
VSHDVPEVLSIADHAWILADKKIVAHGSAQALQANPDPRVRQFLDGIADG
PVPFRYPAGDYHADLLPGS
38 212 0 8 0.9999527
38 208 0 8 0.9998645
10 66 0 8 0.9998631
38 215 0 8 0.9998260
41 218 0 8 0.9997468
39 216 0 8 0.9997139
40 217 0 8 0.9997010
103 138 0 8 0.9996975
88 163 0 8 0.9996669
36 212 0 8 0.9996483
38 200 0 8 0.9996293
11 65 0 8 0.9995958
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88 158 0 8 0.9995657
37 214 0 8 0.9995509
12 64 0 8 0.9995406
45 218 0 8 0.9994769
101 141 0 8 0.9994459
167 199 0 8 0.9993700
37 199 0 8 0.9993680
36 198 0 8 0.9992552
13 63 0 8 0.9992462
90 154 0 8 0.9992421
9 67 0 8 0.9991706
102 153 0 8 0.9991659
168 200 0 8 0.9991400
166 198 0 8 0.9991060
87 165 0 8 0.9989530
41 217 0 8 0.9989484
10 30 0 8 0.9988681
14 63 0 8 0.9988663
165 197 0 8 0.9988395
89 167 0 8 0.9988167
11 29 0 8 0.9984618
106 125 0 8 0.9984182
35 213 0 8 0.9983699
88 166 0 8 0.9983311
86 164 0 8 0.9982327
31 197 0 8 0.9981073
166 196 0 8 0.9980921
102 138 0 8 0.9979277
38 216 0 8 0.9979181
9 31 0 8 0.9976547
15 62 0 8 0.9975954
90 158 0 8 0.9975943
217 224 0 8 0.9974701
12 28 0 8 0.9972798
128 156 0 8 0.9971910
37 212 0 8 0.9971250
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39 200 0 8 0.9969953
216 226 0 8 0.9969941
37 200 0 8 0.9969456
128 159 0 8 0.9969093
128 160 0 8 0.9968320
106 156 0 8 0.9967869
39 218 0 8 0.9965734
34 197 0 8 0.9965654
215 227 0 8 0.9964752
87 163 0 8 0.9956654
36 213 0 8 0.9955788
217 225 0 8 0.9954823
214 227 0 8 0.9954461
166 199 0 8 0.9952570
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168 199 0 8 0.9949463
132 156 0 8 0.9947637
15 61 0 8 0.9946151
101 140 0 8 0.9945289
169 201 0 8 0.9941888
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106 157 0 8 0.9939997
14 27 0 8 0.9939259
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65 72 0 8 0.9907268
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124 160 0 8 0.9903532
109 157 0 8 0.9903334
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125 160 0 8 0.9891022
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105 142 0 8 0.9870451
202 208 0 8 0.9869785
100 142 0 8 0.9867383
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12 63 0 8 0.9857629
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209 229 0 8 0.9854227
132 152 0 8 0.9848999
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110 121 0 8 0.9842325
164 197 0 8 0.9837747
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27 223 0 8 0.9835767
102 137 0 8 0.9834045
200 208 0 8 0.9833770
218 224 0 8 0.9832390
10 65 0 8 0.9829346
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46 218 0 8 0.9828004
36 211 0 8 0.9827138
16 23 0 8 0.9827043
100 141 0 8 0.9824355
8 32 0 8 0.9819685
37 213 0 8 0.9813020
51 167 0 8 0.9811932
45 219 0 8 0.9810988
15 24 0 8 0.9808519
13 28 0 8 0.9805775
25 222 0 8 0.9804268
33 197 0 8 0.9801828
40 208 0 8 0.9800444
88 165 0 8 0.9788330
9 30 0 8 0.9780658
45 220 0 8 0.9774823
40 205 0 8 0.9767399
39 50 0 8 0.9766995
17 61 0 8 0.9758312
47 218 0 8 0.9737968
33 195 0 8 0.9728736
10 29 0 8 0.9725208
16 60 0 8 0.9723169
34 196 0 8 0.9715686
17 23 0 8 0.9715343
214 228 0 8 0.9714687
96 142 0 8 0.9712021
96 150 0 8 0.9705074
8 31 0 8 0.9704528
36 200 0 8 0.9703714
41 219 0 8 0.9702374
105 153 0 8 0.9692316
92 151 0 8 0.9691100
187 198 0 8 0.9690653
8 68 0 8 0.9683055
37 215 0 8 0.9677641
214 226 0 8 0.9670586
23 49 0 8 0.9670552
215 226 0 8 0.9670495
64 71 0 8 0.9669544
168 198 0 8 0.9667707
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52 58 0 8 0.9666188
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91 169 0 8 0.9643385
14 53 0 8 0.9639225
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134 152 0 8 0.9621209
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39 47 0 8 0.9595560
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212 229 0 8 0.9589201
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208 215 0 8 0.9573693
25 221 0 8 0.9571677
106 153 0 8 0.9568756
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36 191 0 8 0.9560567
151 174 0 8 0.9552197
14 62 0 8 0.9551100
99 141 0 8 0.9545389
163 196 0 8 0.9534130
145 153 0 8 0.9522072
102 142 0 8 0.9518120
8 197 0 8 0.9504268
13 62 0 8 0.9494584
184 211 0 8 0.9484873
132 186 0 8 0.9471161
217 223 0 8 0.9465789
216 225 0 8 0.9454938
53 60 0 8 0.9451653
170 202 0 8 0.9451252
102 145 0 8 0.9443356
51 201 0 8 0.9442285
103 139 0 8 0.9427711
92 169 0 8 0.9426838
34 191 0 8 0.9423031
98 142 0 8 0.9407842
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148 176 0 8 0.9386132
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53 65 0 8 0.9360731
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158 166 0 8 0.9337519
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152 179 0 8 0.9306424
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31 37 0 8 0.9277914
106 128 0 8 0.9267685
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47 169 0 8 0.9247912
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170 201 0 8 0.9220974
65 71 0 8 0.9219629
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191 198 0 8 0.9214482
32 197 0 8 0.9200563
7 32 0 8 0.9193741
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92 170 0 8 0.9182673
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171 202 0 8 0.9180688
200 212 0 8 0.9178817
39 202 0 8 0.9152358
9 54 0 8 0.9149624
14 26 0 8 0.9147869
132 155 0 8 0.9142368
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55 87 0 8 0.9129489
232 240 0 8 0.9122303
213 229 0 8 0.9109738
50 218 0 8 0.9104125
208 229 0 8 0.9095447
11 27 0 8 0.9090734
67 83 0 8 0.9086224
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151 175 0 8 0.9079074
148 175 0 8 0.9073444
42 203 0 8 0.9072322
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101 142 0 8 0.9058308
148 179 0 8 0.9041926
97 105 0 8 0.9039262
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200 211 0 8 0.9011883
110 116 0 8 0.9003271
111 121 0 8 0.9000774
36 187 0 8 0.8984041
7 68 0 8 0.8981562
167 201 0 8 0.8978801
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31 165 0 8 0.8968623
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184 207 0 8 0.8957306
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137 149 0 8 0.8903556
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109 160 0 8 0.8873605
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159 190 0 8 0.8750845
172 202 0 8 0.8750124
134 156 0 8 0.8749178
24 49 0 8 0.8748735
110 125 0 8 0.8744373
225 240 0 8 0.8741869
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43 203 0 8 0.8726634
131 186 0 8 0.8722130
217 226 0 8 0.8713276
214 229 0 8 0.8675619
93 150 0 8 0.8672755
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55 89 0 8 0.8660536
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15 22 0 8 0.8634655
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142 153 0 8 0.8618811
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134 149 0 8 0.8584701
165 198 0 8 0.8540196
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205 233 0 8 0.8432598
14 24 0 8 0.8427241
72 83 0 8 0.8418193
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33 196 0 8 0.8295193
56 84 0 8 0.8274446
41 202 0 8 0.8258495
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147 174 0 8 0.8230210
159 166 0 8 0.8218182
38 211 0 8 0.8200311
64 73 0 8 0.8160236
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217 240 0 8 0.8152593
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11 63 0 8 0.8144984
217 232 0 8 0.8137950
54 167 0 8 0.8128673
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38 199 0 8 0.8067769
68 86 0 8 0.8058423
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217 239 0 8 0.8044879
23 221 0 8 0.8038370
56 72 0 8 0.8035721
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31 214 0 8 0.8018394
129 135 0 8 0.8005282
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102 141 0 8 0.7974358
125 156 0 8 0.7957935
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7 33 0 8 0.7929971
213 228 0 8 0.7919696
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55 80 0 8 0.7021720
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END