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OPENSEQ.org
L30 - S10
UniProt: Q5SHQ6 - Q5SHN7
Length: 165
Sequences: 669
Seq/Len: 4.21
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.
3v2c3v2cJ 3v2d3 3v2eJ 3v2f3Contact Map
2j002j00J 2j013 2j02J 2j033Contact Map
4juw4juwJ 4jux3Contact Map
4kix4kixZ 4kiyJ 4kizZ 4kj0J 4kj1Z 4kj2J 4kj3Z 4kj4JContact Map
4kj54kj5Z 4kj6J 4kj7Z 4kj8J 4kj9Z 4kjaJ 4kjbZ 4kjcJContact Map
3ohc3ohcJ 3ohdJ 3ohj3 3ohk3Contact Map
3knh3knhJ 3kni3 3knjJ 3knk3Contact Map
3uz63uz6M 3uz7M 3uz8X 3uz9XContact Map
3oge3ogeJ 3ogyJ 3oh53 3oh73Contact Map
3uyd3uydM 3uyeX 3uyfM 3uygXContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
56_V 13_H 1.05 0.04
19_Q 16_L 1.02 0.03
6_V 21_Q 0.99 0.03
5_K 19_S 0.96 0.03
16_P 49_V 0.95 0.03
52_H 61_E 0.86 0.02
22_A 34_V 0.85 0.02
41_P 86_M 0.81 0.02
41_P 53_P 0.81 0.02
32_Q 14_K 0.79 0.02
41_P 12_D 0.77 0.01
52_H 49_V 0.76 0.01
32_Q 92_T 0.76 0.01
57_E 2_P 0.75 0.01
15_Y 38_I 0.75 0.01
12_P 84_Q 0.75 0.01
9_V 9_R 0.74 0.01
59_V 29_R 0.72 0.01
30_R 88_L 0.72 0.01
20_K 52_G 0.70 0.01
52_H 79_R 0.70 0.01
8_L 20_A 0.70 0.01
59_V 10_G 0.69 0.01
15_Y 82_I 0.69 0.01
58_V 69_N 0.69 0.01
35_R 69_N 0.67 0.01
21_A 68_H 0.67 0.01
19_Q 79_R 0.67 0.01
18_D 11_F 0.67 0.01
31_L 24_V 0.66 0.01
3_R 12_D 0.65 0.01
15_Y 13_H 0.65 0.01
25_A 91_P 0.65 0.01
56_V 42_T 0.64 0.01
32_Q 34_V 0.64 0.01
49_K 73_D 0.62 0.01
24_K 19_S 0.62 0.01
32_Q 47_F 0.62 0.01
55_R 38_I 0.61 0.01
53_L 3_K 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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