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OPENSEQ.org
L23 - L34
UniProt: Q5SHP0 - P80340
Length: 145
Sequences: 960
Seq/Len: 7.01
I_Prob: 0.10
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.
3v2c3v2dX7 3v2fX7Contact Map
2j002j01X7 2j03X7Contact Map
4juw4juxX7Contact Map
4kix4kixT2 4kizT2 4kj1T2 4kj3T2Contact Map
4kj54kj5T2 4kj7T2 4kj9T2 4kjbT2Contact Map
2zjr2zjrQ2Contact Map
4btc4btdX7Contact Map
3uyd3uyeT7 3uygT7Contact Map
4gd13r8sT2 3r8tT2Contact Map
3ohc3ohjX7 3ohkX7Contact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
18_Y 13_A 1.09 0.10
34_A 12_R 0.93 0.06
54_V 16_H 0.85 0.05
9_L 11_K 0.83 0.04
22_A 11_K 0.77 0.04
37_T 32_K 0.75 0.03
14_S 11_K 0.73 0.03
39_I 22_M 0.73 0.03
23_E 44_P 0.73 0.03
13_L 13_A 0.72 0.03
56_T 9_R 0.71 0.03
74_P 29_K 0.70 0.03
81_V 38_G 0.69 0.03
2_K 5_W 0.69 0.03
70_L 36_Q 0.69 0.03
63_K 31_L 0.68 0.02
26_Y 28_R 0.68 0.02
21_F 3_R 0.68 0.02
11_P 16_H 0.67 0.02
61_G 9_R 0.67 0.02
74_P 30_V 0.65 0.02
16_K 3_R 0.65 0.02
65_R 25_P 0.65 0.02
91_A 40_W 0.64 0.02
18_Y 8_N 0.64 0.02
71_G 5_W 0.63 0.02
35_T 9_R 0.62 0.02
70_L 37_K 0.62 0.02
57_L 36_Q 0.62 0.02
2_K 3_R 0.62 0.02
72_K 25_P 0.61 0.02
25_K 14_K 0.61 0.02
82_Q 42_L 0.60 0.02
2_K 14_K 0.60 0.02
84_A 32_K 0.59 0.02
76_R 15_T 0.59 0.02
77_K 13_A 0.58 0.02
45_T 25_P 0.58 0.02
19_A 43_T 0.58 0.02
76_R 1_M 0.57 0.01
23_E 31_L 0.57 0.01
17_A 19_R 0.57 0.01
63_K 23_R 0.56 0.01
73_R 12_R 0.56 0.01
59_V 19_R 0.56 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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