Viewer - CASP13

PFRMAT RR
TARGET T0986s1
AUTHOR Distill
METHOD XX-Stout (Distill)
METHOD Residue contact maps predicted by Recursive Neural Networks
METHOD for Directed Acyclic Graphs and output filtering.
METHOD The input is a combination of the sequence, multiple alignments,
METHOD and secondary structure, solvent accessibility and contact density
METHOD predictions by Porter, PaleAle, and BrownAle
METHOD -------------
MODEL 1
IKTVLDTAQAPYKGSTVIGHALSKHAGRHPEIWGKVKGSMSGWNEQAMKH
FKEIVRAPGEFRPTMNEKGITFLEKRLIDGRGVRLNLDGTFKGFID
1 2 0 8 0.996399
1 3 0 8 0.993736
1 4 0 8 0.333209
1 5 0 8 0.184783
1 6 0 8 0.0613452
1 8 0 8 0.0431344
1 61 0 8 0.0827677
1 62 0 8 0.279148
1 63 0 8 0.448652
1 64 0 8 0.337494
1 65 0 8 0.132774
1 66 0 8 0.0452708
1 75 0 8 0.0454135
1 76 0 8 0.0490123
1 81 0 8 0.0472995
1 84 0 8 0.0472834
1 85 0 8 0.0408711
2 3 0 8 0.997836
2 4 0 8 0.966436
2 5 0 8 0.378509
2 6 0 8 0.19153
2 7 0 8 0.071633
2 8 0 8 0.0488861
2 10 0 8 0.0508647
2 11 0 8 0.0537197
2 14 0 8 0.0450725
2 62 0 8 0.102533
2 63 0 8 0.170356
2 64 0 8 0.0718586
3 4 0 8 0.99736
3 5 0 8 0.98552
3 6 0 8 0.452675
3 7 0 8 0.319613
3 8 0 8 0.172507
3 9 0 8 0.157235
3 10 0 8 0.155299
3 11 0 8 0.121762
3 12 0 8 0.065415
3 13 0 8 0.063759
4 5 0 8 0.997675
4 6 0 8 0.988575
4 7 0 8 0.600633
4 8 0 8 0.493218
4 9 0 8 0.183738
4 10 0 8 0.136908
4 11 0 8 0.15012
4 12 0 8 0.124586
4 13 0 8 0.0997661
4 15 0 8 0.0419093
5 6 0 8 0.997662
5 7 0 8 0.991789
5 8 0 8 0.765677
5 9 0 8 0.342866
5 10 0 8 0.1708
5 11 0 8 0.166858
5 12 0 8 0.137008
5 13 0 8 0.0701959
6 7 0 8 0.997609
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6 9 0 8 0.802281
6 10 0 8 0.432392
6 11 0 8 0.192394
6 12 0 8 0.0941785
7 8 0 8 0.997217
7 9 0 8 0.990509
7 10 0 8 0.80243
7 11 0 8 0.449521
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7 13 0 8 0.0487289
8 9 0 8 0.997129
8 10 0 8 0.98898
8 11 0 8 0.79166
8 12 0 8 0.459406
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8 14 0 8 0.154216
8 15 0 8 0.0527514
8 18 0 8 0.124135
8 47 0 8 0.0689843
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8 51 0 8 0.042474
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11 14 0 8 0.47732
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12 15 0 8 0.37813
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12 91 0 8 0.0474599
13 14 0 8 0.998094
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13 16 0 8 0.221509
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13 91 0 8 0.0703826
14 15 0 8 0.997901
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14 18 0 8 0.110436
14 19 0 8 0.0452966
14 36 0 8 0.0530415
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14 38 0 8 0.0464054
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15 16 0 8 0.997717
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15 35 0 8 0.0911555
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16 25 0 8 0.0639067
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16 32 0 8 0.0575964
16 33 0 8 0.0555104
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17 21 0 8 0.632992
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22 54 0 8 0.0917507
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24 25 0 8 0.996647
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END