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OPENSEQ.org
L35 - S05
UniProt: Q5SKU1 - Q5SHQ5
Length: 227
Sequences: 980
Seq/Len: 4.43
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.
3v2c3v2cE 3v2d8 3v2eE 3v2f8Contact Map
2j002j00E 2j018 2j02E 2j038Contact Map
4juw4juwE 4jux8Contact Map
4kix4kix3 4kiyE 4kiz3 4kj0E 4kj13 4kj2E 4kj33 4kj4EContact Map
4kj54kj53 4kj6E 4kj73 4kj8E 4kj93 4kjaE 4kjb3 4kjcEContact Map
3uyd3uydH 3uye8 3uyfH 3uyg8Contact Map
4gd13r8s3 3r8t3 4gd1E 4gd2EContact Map
3knh3knhE 3kni8 3knjE 3knk8Contact Map
3ohc3ohcE 3ohdE 3ohj8 3ohk8Contact Map
3f1e3f1eE 3f1f8 3f1gE 3f1h8Contact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
4_M 78_H 1.04 0.04
30_R 100_V 1.00 0.03
50_L 90_V 0.95 0.03
22_V 133_Y 0.90 0.02
7_H 48_A 0.88 0.02
30_R 31_L 0.85 0.02
61_L 93_P 0.84 0.02
50_L 19_M 0.83 0.02
8_K 45_F 0.83 0.02
23_V 17_A 0.80 0.02
48_F 69_V 0.77 0.01
60_L 105_V 0.76 0.01
15_K 96_P 0.75 0.01
56_E 41_V 0.75 0.01
14_V 6_F 0.75 0.01
41_I 110_L 0.75 0.01
60_L 116_T 0.74 0.01
4_M 117_D 0.71 0.01
39_K 156_A 0.71 0.01
29_K 127_N 0.71 0.01
28_G 48_A 0.71 0.01
33_N 37_R 0.71 0.01
19_S 81_E 0.71 0.01
9_G 95_A 0.66 0.01
35_Q 58_A 0.65 0.01
54_E 11_I 0.65 0.01
40_E 29_G 0.65 0.01
15_K 157_H 0.65 0.01
34_W 127_N 0.65 0.01
7_H 92_K 0.65 0.01
62_L 76_I 0.64 0.01
21_K 70_P 0.63 0.01
28_G 140_R 0.63 0.01
18_A 113_A 0.63 0.01
28_G 155_E 0.63 0.01
15_K 52_P 0.62 0.01
22_V 40_R 0.62 0.01
51_A 87_S 0.62 0.01
30_R 9_K 0.62 0.01
8_K 48_A 0.62 0.01
18_A 18_R 0.61 0.01
26_K 71_L 0.61 0.01
40_E 127_N 0.61 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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