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OPENSEQ.org
L17 - S09
UniProt: Q9Z9H5 - P80374
Length: 246
Sequences: 1249
Seq/Len: 5.12
I_Prob: 0.02
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.
3v2c3v2cI 3v2dR 3v2eI 3v2fRContact Map
2j002j00I 2j01R 2j02I 2j03RContact Map
4juw4juwI 4juxRContact Map
4kix4kixN 4kiyI 4kizN 4kj0I 4kj1N 4kj2I 4kj3N 4kj4IContact Map
4kj54kj5N 4kj6I 4kj7N 4kj8I 4kj9N 4kjaI 4kjbN 4kjcIContact Map
3uyd3uydL 3uye0 3uyfL 3uyg0Contact Map
4gd13r8sN 3r8tN 4gd1I 4gd2IContact Map
3ohc3ohcI 3ohdI 3ohjR 3ohkRContact Map
3knh3knhI 3kniR 3knjI 3knkRContact Map
3f1e3f1eI 3f1fR 3f1gI 3f1hRContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
22_R 13_A 0.98 0.02
101_A 37_F 0.80 0.01
40_K 37_F 0.79 0.01
54_L 109_V 0.78 0.01
50_H 90_P 0.77 0.01
106_G 96_L 0.74 0.01
24_Q 112_K 0.74 0.01
18_L 36_Y 0.72 0.01
50_H 18_F 0.71 0.01
64_R 16_R 0.69 0.01
112_A 88_Y 0.69 0.01
82_E 35_E 0.69 0.01
45_R 112_K 0.68 0.01
101_A 31_Q 0.67 0.01
16_H 101_F 0.65 0.01
117_V 17_V 0.65 0.01
97_V 77_I 0.63 0.01
87_Y 89_N 0.63 0.01
49_D 91_D 0.62 0.01
4_L 50_L 0.61 0.01
114_V 46_A 0.61 0.01
68_R 35_E 0.60 0.01
73_V 14_V 0.60 0.01
13_H 23_N 0.60 0.01
30_T 87_Q 0.60 0.01
48_V 34_N 0.60 0.01
27_S 106_A 0.59 0.01
57_R 101_F 0.58 0.01
8_R 71_S 0.58 0.01
109_A 49_P 0.58 0.01
22_R 43_A 0.57 0.01
108_G 26_V 0.57 0.01
70_L 33_F 0.57 0.01
113_L 62_Y 0.57 0.01
34_I 109_V 0.57 0.01
78_K 65_V 0.57 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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