Viewer - CASP13

PFRMAT  RR
TARGET  T0980s2
AUTHOR  0371-5189-2822
METHOD  contact prediction by deep residual neural networks and transfer learning
METHOD -------------
MODEL   1
VNNMVTGYISIDAMKKFLGELHDFIPGTSGYLAYHVQNEINMSAIKNKLK
RK
24 33 0 8 0.9436400000
22 35 0 8 0.9362610000
21 34 0 8 0.9262370000
25 32 0 8 0.9015940000
22 34 0 8 0.8939390000
23 32 0 8 0.8927080000
24 32 0 8 0.8896850000
23 34 0 8 0.8821810000
21 35 0 8 0.8813400000
23 33 0 8 0.8646060000
21 36 0 8 0.8115450000
26 32 0 8 0.7766040000
20 37 0 8 0.7719780000
20 36 0 8 0.7561210000
25 31 0 8 0.7525560000
26 33 0 8 0.6827190000
19 37 0 8 0.6522230000
24 35 0 8 0.6375060000
25 33 0 8 0.6083970000
36 42 0 8 0.6061030000
23 35 0 8 0.5945720000
24 34 0 8 0.5816720000
19 36 0 8 0.5479970000
21 37 0 8 0.5414500000
22 37 0 8 0.5259120000
18 40 0 8 0.4919560000
22 36 0 8 0.4578160000
18 39 0 8 0.4141240000
17 40 0 8 0.3962550000
19 38 0 8 0.3807120000
19 40 0 8 0.3797510000
36 45 0 8 0.3518920000
18 37 0 8 0.3323910000
17 42 0 8 0.3160130000
34 45 0 8 0.3102440000
14 21 0 8 0.3086740000
19 39 0 8 0.3062340000
14 24 0 8 0.2950150000
8 24 0 8 0.2918690000
5 32 0 8 0.2917420000
18 42 0 8 0.2904000000
20 38 0 8 0.2809710000
5 33 0 8 0.2808070000
14 45 0 8 0.2760400000
18 41 0 8 0.2726550000
17 41 0 8 0.2724910000
15 43 0 8 0.2698480000
34 46 0 8 0.2679380000
18 38 0 8 0.2640630000
17 36 0 8 0.2631460000
5 31 0 8 0.2608730000
4 33 0 8 0.2593330000
16 42 0 8 0.2437990000
4 34 0 8 0.2434470000
8 14 0 8 0.2402130000
14 43 0 8 0.2401640000
11 17 0 8 0.2396120000
6 33 0 8 0.2392050000
16 41 0 8 0.2365750000
20 40 0 8 0.2362570000
3 33 0 8 0.2344430000
15 42 0 8 0.2339110000
17 34 0 8 0.2279220000
14 44 0 8 0.2275540000
17 37 0 8 0.2252650000
6 34 0 8 0.2246460000
3 34 0 8 0.2232190000
6 32 0 8 0.2225900000
6 31 0 8 0.2210130000
21 32 0 8 0.2187570000
35 45 0 8 0.2130550000
9 25 0 8 0.2129940000
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5 26 0 8 0.2121130000
1 35 0 8 0.2117580000
20 35 0 8 0.2109800000
5 29 0 8 0.2109540000
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15 44 0 8 0.2103150000
22 33 0 8 0.2102240000
6 24 0 8 0.2073000000
14 33 0 8 0.2069630000
9 28 0 8 0.2068250000
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18 36 0 8 0.2056040000
24 31 0 8 0.2046160000
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17 24 0 8 0.1754940000
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37 45 0 8 0.1097840000
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11 44 0 8 0.1072180000
34 48 0 8 0.1067720000
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12 44 0 8 0.0977835000
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33 48 0 8 0.0967664000
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1 13 0 8 0.0957449000
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37 46 0 8 0.0921724000
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37 44 0 8 0.0910388000
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END