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OPENSEQ.org
L28 - S10
UniProt: P60494 - Q5SHN7
Length: 203
Sequences: 618
Seq/Len: 3.79
I_Prob: 0.13
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 3v2d1 3v2eJ 3v2f1Contact Map
2j002j00J 2j011 2j02J 2j031Contact Map
4juw4juwJ 4jux1Contact Map
4kix4kixX 4kiyJ 4kizX 4kj0J 4kj1X 4kj2J 4kj3X 4kj4JContact Map
4kj54kj5X 4kj6J 4kj7X 4kj8J 4kj9X 4kjaJ 4kjbX 4kjcJContact Map
3uyd3uydM 3uyeZ 3uyfM 3uygZContact Map
4gd13r8sX 3r8tX 4gd1J 4gd2JContact Map
3ohc3ohcJ 3ohdJ 3ohj1 3ohk1Contact Map
3knh3knhJ 3kni1 3knjJ 3knk1Contact Map
3f1e3f1eJ 3f1f1 3f1gJ 3f1h1Contact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
20_R 9_R 1.17 0.13
47_Q 47_F 1.10 0.11
59_T 29_R 0.95 0.07
58_I 11_F 0.89 0.05
35_T 66_R 0.86 0.05
19_Q 9_R 0.83 0.04
52_R 10_G 0.83 0.04
44_P 98_I 0.83 0.04
12_P 84_Q 0.82 0.04
42_Q 79_R 0.81 0.04
43_Y 35_S 0.81 0.04
17_S 76_N 0.80 0.04
68_P 46_R 0.79 0.04
68_P 88_L 0.77 0.03
15_A 31_G 0.76 0.03
50_R 21_Q 0.76 0.03
55_G 96_I 0.76 0.03
38_S 30_S 0.76 0.03
16_N 55_K 0.75 0.03
13_I 56_H 0.74 0.03
64_A 55_K 0.73 0.03
6_E 95_E 0.72 0.03
57_E 20_A 0.72 0.03
2_S 29_R 0.70 0.03
35_T 56_H 0.69 0.03
40_R 24_V 0.69 0.03
19_Q 57_K 0.68 0.02
66_H 95_E 0.68 0.02
36_G 87_T 0.66 0.02
39_K 45_R 0.65 0.02
40_R 98_I 0.65 0.02
53_V 3_K 0.65 0.02
65_S 63_F 0.65 0.02
18_I 87_T 0.64 0.02
17_S 3_K 0.64 0.02
62_V 18_A 0.64 0.02
16_N 15_T 0.63 0.02
46_L 44_V 0.63 0.02
14_V 34_V 0.63 0.02
54_A 71_L 0.62 0.02
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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