Viewer - CASP13

PFRMAT RR
TARGET T0974s2
AUTHOR 1270-5526-8383
METHOD RGN 5874 with refinement trained on ProteinNet12
METHOD -------------
MODEL  1
MQTDTSNRLKQIMAERNLKQVDILNLSIPFQKKFGIKLSKSTLSQYVNSV
QSPDQNRIYLLAKTLGVSEAWLMGFDVPMVESSKIENDSHHHHHH
65 68 0 8 0.997
3 50 0 8 0.994
25 28 0 8 0.991
59 61 0 8 0.991
31 34 0 8 0.991
23 64 0 8 0.991
22 24 0 8 0.991
16 18 0 8 0.991
9 13 0 8 0.991
18 20 0 8 0.991
21 24 0 8 0.991
71 73 0 8 0.991
10 12 0 8 0.990
28 31 0 8 0.990
4 52 0 8 0.990
23 63 0 8 0.989
19 23 0 8 0.989
90 93 0 8 0.988
57 60 0 8 0.988
26 29 0 8 0.987
55 57 0 8 0.986
19 63 0 8 0.985
8 11 0 8 0.985
70 75 0 8 0.984
48 50 0 8 0.984
42 45 0 8 0.984
65 66 0 8 0.984
52 56 0 8 0.984
47 50 0 8 0.983
73 76 0 8 0.983
61 65 0 8 0.982
13 72 0 8 0.982
69 71 0 8 0.981
9 14 0 8 0.980
26 30 0 8 0.980
24 26 0 8 0.979
20 21 0 8 0.978
45 46 0 8 0.978
73 74 0 8 0.978
13 74 0 8 0.978
94 95 0 8 0.977
84 86 0 8 0.977
28 30 0 8 0.976
66 67 0 8 0.976
66 68 0 8 0.975
87 89 0 8 0.975
3 48 0 8 0.974
34 35 0 8 0.974
51 53 0 8 0.974
74 75 0 8 0.974
11 14 0 8 0.974
86 89 0 8 0.972
47 49 0 8 0.972
56 57 0 8 0.972
43 55 0 8 0.972
3 47 0 8 0.971
35 36 0 8 0.970
83 86 0 8 0.970
28 34 0 8 0.970
6 8 0 8 0.969
60 62 0 8 0.969
62 72 0 8 0.969
33 35 0 8 0.969
16 20 0 8 0.969
9 74 0 8 0.968
44 52 0 8 0.968
2 3 0 8 0.968
1 2 0 8 0.968
4 5 0 8 0.968
83 84 0 8 0.967
17 18 0 8 0.967
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44 47 0 8 0.966
52 53 0 8 0.966
76 79 0 8 0.964
91 92 0 8 0.964
6 46 0 8 0.962
53 54 0 8 0.962
4 47 0 8 0.962
16 17 0 8 0.961
82 85 0 8 0.960
27 29 0 8 0.960
72 74 0 8 0.960
5 7 0 8 0.960
88 90 0 8 0.960
81 82 0 8 0.959
41 59 0 8 0.959
34 36 0 8 0.959
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42 44 0 8 0.956
30 31 0 8 0.955
61 64 0 8 0.954
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73 75 0 8 0.954
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36 38 0 8 0.953
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18 19 0 8 0.952
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22 64 0 8 0.951
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44 51 0 8 0.950
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24 27 0 8 0.949
84 85 0 8 0.948
9 11 0 8 0.948
71 72 0 8 0.948
3 7 0 8 0.947
63 64 0 8 0.946
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82 83 0 8 0.943
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21 23 0 8 0.942
8 10 0 8 0.942
19 20 0 8 0.942
33 34 0 8 0.941
22 27 0 8 0.941
4 7 0 8 0.941
67 69 0 8 0.941
80 83 0 8 0.940
48 49 0 8 0.940
44 45 0 8 0.940
85 86 0 8 0.940
70 72 0 8 0.939
14 80 0 8 0.939
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19 64 0 8 0.935
2 50 0 8 0.935
38 39 0 8 0.934
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22 23 0 8 0.933
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21 26 0 8 0.933
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92 93 0 8 0.931
21 22 0 8 0.931
86 87 0 8 0.930
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46 47 0 8 0.929
62 65 0 8 0.927
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77 78 0 8 0.926
7 8 0 8 0.926
10 11 0 8 0.925
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15 16 0 8 0.925
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61 62 0 8 0.923
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26 27 0 8 0.921
25 30 0 8 0.921
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13 14 0 8 0.917
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27 28 0 8 0.913
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1 51 0 8 0.911
93 95 0 8 0.910
20 23 0 8 0.910
49 50 0 8 0.909
80 81 0 8 0.909
89 90 0 8 0.909
29 30 0 8 0.908
83 85 0 8 0.908
70 71 0 8 0.908
59 60 0 8 0.906
10 13 0 8 0.905
31 32 0 8 0.904
14 15 0 8 0.904
58 59 0 8 0.903
12 14 0 8 0.902
15 17 0 8 0.901
68 69 0 8 0.899
40 42 0 8 0.897
43 44 0 8 0.897
58 61 0 8 0.892
35 38 0 8 0.892
65 67 0 8 0.892
13 73 0 8 0.892
53 56 0 8 0.891
44 49 0 8 0.890
61 68 0 8 0.889
3 4 0 8 0.889
70 74 0 8 0.888
78 81 0 8 0.887
37 38 0 8 0.887
60 61 0 8 0.886
9 12 0 8 0.886
32 34 0 8 0.885
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43 57 0 8 0.882
63 65 0 8 0.882
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12 20 0 8 0.874
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69 72 0 8 0.855
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62 64 0 8 0.854
63 69 0 8 0.853
5 45 0 8 0.853
6 7 0 8 0.849
63 67 0 8 0.848
52 57 0 8 0.847
42 49 0 8 0.847
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37 59 0 8 0.842
55 58 0 8 0.841
64 66 0 8 0.840
5 60 0 8 0.839
25 31 0 8 0.838
38 41 0 8 0.832
47 51 0 8 0.825
61 66 0 8 0.825
12 16 0 8 0.823
4 56 0 8 0.820
79 82 0 8 0.819
44 55 0 8 0.816
62 68 0 8 0.815
34 38 0 8 0.814
4 51 0 8 0.813
19 21 0 8 0.810
58 60 0 8 0.810
44 56 0 8 0.810
71 75 0 8 0.807
23 61 0 8 0.807
81 83 0 8 0.807
85 88 0 8 0.800
49 51 0 8 0.800
36 59 0 8 0.800
5 8 0 8 0.800
56 60 0 8 0.799
71 74 0 8 0.796
21 25 0 8 0.793
15 73 0 8 0.792
1 52 0 8 0.792
63 66 0 8 0.788
46 49 0 8 0.786
24 29 0 8 0.786
59 65 0 8 0.785
24 28 0 8 0.784
90 92 0 8 0.784
27 33 0 8 0.782
5 9 0 8 0.782
47 52 0 8 0.782
63 68 0 8 0.778
5 47 0 8 0.777
2 7 0 8 0.776
1 53 0 8 0.774
19 24 0 8 0.771
6 47 0 8 0.771
7 47 0 8 0.769
5 10 0 8 0.769
9 72 0 8 0.769
37 41 0 8 0.767
38 40 0 8 0.766
41 57 0 8 0.761
20 24 0 8 0.756
72 75 0 8 0.751
69 73 0 8 0.747
42 47 0 8 0.746
25 41 0 8 0.742
79 83 0 8 0.742
1 4 0 8 0.738
27 64 0 8 0.738
41 45 0 8 0.738
8 12 0 8 0.737
65 69 0 8 0.734
39 42 0 8 0.733
15 76 0 8 0.729
7 9 0 8 0.726
25 36 0 8 0.725
29 33 0 8 0.724
8 14 0 8 0.719
23 65 0 8 0.718
79 81 0 8 0.715
52 55 0 8 0.712
20 63 0 8 0.710
5 74 0 8 0.707
82 84 0 8 0.707
2 4 0 8 0.706
56 58 0 8 0.704
44 53 0 8 0.697
1 3 0 8 0.697
62 70 0 8 0.696
29 32 0 8 0.695
18 21 0 8 0.691
86 88 0 8 0.690
71 76 0 8 0.690
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44 46 0 8 0.660
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52 54 0 8 0.650
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33 36 0 8 0.643
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29 31 0 8 0.637
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74 78 0 8 0.616
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84 87 0 8 0.569
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END