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OPENSEQ.org
L35 - S11
UniProt: Q5SKU1 - P80376
Length: 194
Sequences: 856
Seq/Len: 4.48
I_Prob: 0.04
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.
3v2c3v2cK 3v2d8 3v2eK 3v2f8Contact Map
2j002j00K 2j018 2j02K 2j038Contact Map
4juw4juwK 4jux8Contact Map
4kix4kix3 4kiyK 4kiz3 4kj0K 4kj13 4kj2K 4kj33 4kj4KContact Map
4kj54kj53 4kj6K 4kj73 4kj8K 4kj93 4kjaK 4kjb3 4kjcKContact Map
3uyd3uydN 3uye8 3uyfN 3uyg8Contact Map
4gd13r8s3 3r8t3 4gd1K 4gd2KContact Map
3ohc3ohcK 3ohdK 3ohj8 3ohk8Contact Map
3knh3knhK 3kni8 3knjK 3knk8Contact Map
3f1e3f1eK 3f1f8 3f1gK 3f1h8Contact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
54_E 40_I 1.04 0.04
9_G 62_Q 0.93 0.03
33_N 125_F 0.89 0.02
29_K 19_A 0.89 0.02
59_K 11_K 0.83 0.02
62_L 104_Q 0.82 0.02
34_W 23_A 0.82 0.02
19_S 17_G 0.79 0.02
14_V 125_F 0.77 0.02
14_V 127_K 0.77 0.02
48_F 59_Y 0.76 0.01
58_I 50_Y 0.75 0.01
14_V 87_T 0.75 0.01
30_R 45_G 0.75 0.01
30_R 14_V 0.74 0.01
37_S 22_H 0.74 0.01
20_G 113_P 0.74 0.01
57_R 103_L 0.73 0.01
1_M 105_V 0.72 0.01
17_T 84_V 0.72 0.01
45_G 15_A 0.72 0.01
27_T 105_V 0.71 0.01
29_K 11_K 0.71 0.01
47_K 38_N 0.71 0.01
61_L 24_S 0.70 0.01
27_T 45_G 0.69 0.01
22_V 67_D 0.69 0.01
32_L 59_Y 0.68 0.01
19_S 39_P 0.67 0.01
42_R 23_A 0.67 0.01
50_L 122_K 0.67 0.01
49_V 59_Y 0.66 0.01
45_G 38_N 0.66 0.01
56_E 45_G 0.65 0.01
38_G 80_V 0.65 0.01
26_K 115_P 0.65 0.01
38_G 30_V 0.65 0.01
11_K 14_V 0.64 0.01
19_S 31_T 0.64 0.01
27_T 111_D 0.64 0.01
7_H 95_I 0.64 0.01
40_E 119_C 0.64 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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