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OPENSEQ.org
L30 - S18
UniProt: Q5SHQ6 - Q5SLQ0
Length: 148
Sequences: 850
Seq/Len: 6.64
I_Prob: 0.00
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.
3v2c3v2cR 3v2d3 3v2eR 3v2f3Contact Map
2j002j00R 2j013 2j02R 2j033Contact Map
3ohc3ohcR 3ohdR 3ohj3 3ohk3Contact Map
3knh3knhR 3kni3 3knjR 3knk3Contact Map
3uz63uz6U 3uz7U 3uz8X 3uz9XContact Map
3oge3ogeR 3ogyR 3oh53 3oh73Contact Map
3uyd3uydU 3uyeX 3uyfU 3uygXContact Map
3f1e3f1eR 3f1f3 3f1gR 3f1h3Contact Map
3ohy3ohyR 3ohz3 3oi0R 3oi13Contact Map
3v223v22R 3v233 3v24R 3v253Contact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
14_G 41_K 0.75 0.00
39_D 81_F 0.72 0.00
12_P 21_K 0.70 0.00
19_Q 76_L 0.68 0.00
10_K 57_G 0.67 0.00
21_A 49_K 0.66 0.00
20_K 47_T 0.64 0.00
54_V 25_T 0.64 0.00
42_A 44_L 0.63 0.00
16_P 32_R 0.62 0.00
36_V 71_K 0.61 0.00
13_I 44_L 0.61 0.00
43_I 45_S 0.61 0.00
50_V 37_V 0.58 0.00
50_V 82_T 0.58 0.00
3_R 30_D 0.57 0.00
5_K 43_F 0.57 0.00
22_A 42_R 0.56 0.00
4_L 17_S 0.55 0.00
52_H 47_T 0.55 0.00
6_V 33_D 0.55 0.00
25_A 53_R 0.54 0.00
44_R 65_I 0.54 0.00
30_R 52_P 0.53 0.00
27_G 41_K 0.53 0.00
35_R 61_K 0.53 0.00
32_Q 67_A 0.53 0.00
42_A 19_K 0.53 0.00
60_E 24_A 0.52 0.00
17_K 76_L 0.52 0.00
58_V 32_R 0.52 0.00
56_V 17_S 0.52 0.00
55_R 77_G 0.52 0.00
20_K 25_T 0.52 0.00
58_V 43_F 0.51 0.00
46_N 44_L 0.51 0.00
44_R 70_I 0.51 0.00
50_V 59_S 0.51 0.00
55_R 55_R 0.51 0.00
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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