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OPENSEQ.org
L23 - S20
UniProt: Q5SHP0 - P80380
Length: 202
Sequences: 1273
Seq/Len: 7.15
I_Prob: 0.03
GREMLIN Results (Scaled_score > 1):

Legend: The darker and larger the blue dots, the higher strength in coevolution. Blue filled circles are GREMLIN results (Scaled_score >1). The grey/red filled circles underneath are pdb residue contacts (min distance < 5 Angstroms). The shade of the circles is based on HHsearch results which uses the overall probability and per-site alignment confidence. Inter-chain contacts in the pdb are in shades of red.
3v2c3v2cT 3v2dX 3v2eT 3v2fXContact Map
2j002j00T 2j01X 2j02T 2j03XContact Map
4juw4juwT 4juxXContact Map
4kix4kixT 4kiyT 4kizT 4kj0T 4kj1T 4kj2T 4kj3T 4kj4TContact Map
4kj54kj5T 4kj6T 4kj7T 4kj8T 4kj9T 4kjaT 4kjbT 4kjcTContact Map
3knh3knhT 3kniX 3knjT 3knkXContact Map
3ohc3ohcT 3ohdT 3ohjX 3ohkXContact Map
3uz63uz6W 3uz7W 3uz8T 3uz9TContact Map
3oge3ogeT 3ogyT 3oh5X 3oh7XContact Map
3uyd3uydW 3uyeT 3uyfW 3uygTContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
46_A 9_N 0.99 0.03
61_G 57_R 0.90 0.02
26_Y 81_K 0.88 0.02
90_E 34_K 0.81 0.01
73_R 15_R 0.80 0.01
85_P 55_I 0.70 0.01
77_K 23_R 0.67 0.01
88_K 36_L 0.66 0.01
40_K 8_R 0.65 0.01
78_K 56_M 0.65 0.01
37_T 71_T 0.64 0.01
39_I 72_L 0.63 0.01
35_T 89_R 0.63 0.01
50_K 58_K 0.63 0.01
70_L 54_K 0.63 0.01
18_Y 12_A 0.63 0.01
46_A 18_Q 0.63 0.01
22_A 19_S 0.62 0.01
76_R 19_S 0.62 0.01
92_L 29_K 0.62 0.01
56_T 75_N 0.61 0.01
94_G 80_R 0.61 0.01
45_T 54_K 0.61 0.01
27_T 9_N 0.61 0.01
22_A 49_A 0.60 0.01
78_K 69_G 0.59 0.01
64_K 80_R 0.59 0.01
24_G 70_S 0.59 0.01
74_P 47_G 0.59 0.01
27_T 20_L 0.58 0.01
16_K 14_K 0.57 0.01
14_S 52_A 0.57 0.01
12_V 22_R 0.57 0.01
12_V 60_E 0.56 0.01
34_A 54_K 0.56 0.01
23_E 50_E 0.56 0.01
71_G 11_S 0.56 0.01
94_G 41_I 0.56 0.01
47_F 31_S 0.55 0.01
41_N 12_A 0.55 0.01
63_K 24_L 0.54 0.01
68_R 34_K 0.54 0.01
35_T 79_R 0.54 0.01
Legend: The i (protein A) and j (protein B) are positions as given in the UniProt sequences. The value of the raw score is the function of the learning procedure, L2 normalization and APC (entropic) correction.

Scaled Score = raw_score/average(raw_scores)
I_Prob = P(contact | scaled_score, seq/len, top_inter_score)

Text file of predictions (includes both intra and inter preds)
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