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OPENSEQ.org
L17 - S10
UniProt: Q9Z9H5 - Q5SHN7
Length: 223
Sequences: 944
Seq/Len: 4.35
I_Prob: 0.01
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 3v2dR 3v2eJ 3v2fRContact Map
2j002j00J 2j01R 2j02J 2j03RContact Map
4juw4juwJ 4juxRContact Map
4kix4kixN 4kiyJ 4kizN 4kj0J 4kj1N 4kj2J 4kj3N 4kj4JContact Map
4kj54kj5N 4kj6J 4kj7N 4kj8J 4kj9N 4kjaJ 4kjbN 4kjcJContact Map
3uyd3uydM 3uye0 3uyfM 3uyg0Contact Map
4gd13r8sN 3r8tN 4gd1J 4gd2JContact Map
3ohc3ohcJ 3ohdJ 3ohjR 3ohkRContact Map
3knh3knhJ 3kniR 3knjJ 3knkRContact Map
3f1e3f1eJ 3f1fR 3f1gJ 3f1hRContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
83_I 75_I 0.94 0.01
27_S 55_K 0.94 0.01
72_D 53_P 0.89 0.01
4_L 64_E 0.87 0.01
101_A 12_D 0.86 0.01
13_H 11_F 0.83 0.01
82_E 47_F 0.81 0.01
33_R 63_F 0.81 0.01
52_I 43_R 0.81 0.01
72_D 92_T 0.79 0.01
6_S 27_A 0.79 0.01
86_R 93_G 0.77 0.01
86_R 56_H 0.76 0.01
9_K 11_F 0.75 0.01
28_L 96_I 0.75 0.01
35_T 61_E 0.72 0.00
61_H 80_K 0.71 0.00
13_H 82_I 0.71 0.00
55_A 87_T 0.69 0.00
26_K 91_P 0.69 0.00
68_R 16_L 0.69 0.00
38_V 45_R 0.69 0.00
21_Y 43_R 0.68 0.00
86_R 16_L 0.68 0.00
33_R 34_V 0.68 0.00
105_R 91_P 0.67 0.00
19_A 5_R 0.67 0.00
25_A 49_V 0.66 0.00
4_L 53_P 0.65 0.00
55_A 53_P 0.65 0.00
112_A 54_F 0.65 0.00
14_S 65_L 0.65 0.00
76_V 19_S 0.64 0.00
29_L 28_R 0.64 0.00
76_V 55_K 0.64 0.00
86_R 22_K 0.63 0.00
52_I 82_I 0.63 0.00
53_H 32_A 0.63 0.00
71_Q 52_G 0.62 0.00
62_A 16_L 0.62 0.00
13_H 58_D 0.61 0.00
48_V 96_I 0.61 0.00
116_L 20_A 0.60 0.00
110_P 47_F 0.60 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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