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OPENSEQ.org
L30 - S06
UniProt: Q5SHQ6 - Q5SLP8
Length: 161
Sequences: 1034
Seq/Len: 6.50
I_Prob: 0.06
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.
3v2c3v2cF 3v2d3 3v2eF 3v2f3Contact Map
2j002j00F 2j013 2j02F 2j033Contact Map
4juw4juwF 4jux3Contact Map
4kix4kixZ 4kiyF 4kizZ 4kj0F 4kj1Z 4kj2F 4kj3Z 4kj4FContact Map
4kj54kj5Z 4kj6F 4kj7Z 4kj8F 4kj9Z 4kjaF 4kjbZ 4kjcFContact Map
3ohc3ohcF 3ohdF 3ohj3 3ohk3Contact Map
3knh3knhF 3kni3 3knjF 3knk3Contact Map
3uz63uz6I 3uz7I 3uz8X 3uz9XContact Map
3oge3ogeF 3ogyF 3oh53 3oh73Contact Map
3uyd3uydI 3uyeX 3uyfI 3uygXContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
16_P 46_R 1.06 0.06
58_V 80_R 0.89 0.04
38_E 73_N 0.86 0.03
8_L 17_S 0.82 0.03
29_R 2_R 0.80 0.03
33_Q 46_R 0.75 0.02
27_G 60_F 0.72 0.02
6_V 50_Y 0.70 0.02
8_L 19_L 0.69 0.02
4_L 36_R 0.69 0.02
11_S 56_P 0.69 0.02
53_L 89_M 0.68 0.02
8_L 42_E 0.67 0.02
28_L 86_R 0.67 0.02
33_Q 80_R 0.66 0.02
36_V 94_Q 0.66 0.02
14_G 96_P 0.65 0.02
12_P 90_V 0.65 0.02
6_V 34_G 0.64 0.01
17_K 73_N 0.63 0.01
10_K 81_I 0.63 0.01
5_K 75_L 0.62 0.01
55_R 9_V 0.62 0.01
52_H 77_R 0.62 0.01
1_M 69_E 0.60 0.01
20_K 21_L 0.60 0.01
23_L 1_M 0.59 0.01
34_E 67_M 0.59 0.01
29_R 1_M 0.58 0.01
36_V 85_V 0.58 0.01
37_L 45_L 0.57 0.01
8_L 3_R 0.57 0.01
23_L 43_L 0.57 0.01
3_R 48_L 0.56 0.01
22_A 11_N 0.55 0.01
54_V 92_K 0.55 0.01
9_V 70_D 0.55 0.01
12_P 83_D 0.55 0.01
19_Q 66_E 0.55 0.01
24_K 79_L 0.55 0.01
5_K 27_Q 0.54 0.01
23_L 68_P 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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