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OPENSEQ.org
L05 - L32
UniProt: Q5SHQ0 - P80339
Length: 242
Sequences: 856
Seq/Len: 3.64
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.
3v2c3v2dG5 3v2fG5Contact Map
2j002j01G5 2j03G5Contact Map
4juw4juxG5Contact Map
4kix4kixF0 4kizF0 4kj1F0 4kj3F0Contact Map
4kj54kj5F0 4kj7F0 4kj9F0 4kjbF0Contact Map
2zjr2zjrDZContact Map
4btc4btdG5Contact Map
3uyd3uyeG5 3uygG5Contact Map
4gd13r8sF0 3r8tF0Contact Map
3knh3kniG5 3knkG5Contact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
27_N 21_S 0.86 0.00
34_L 15_R 0.84 0.00
64_T 51_Y 0.83 0.00
157_I 45_V 0.82 0.00
67_K 54_G 0.80 0.00
67_K 38_A 0.77 0.00
177_G 36_C 0.75 0.00
78_S 56_K 0.75 0.00
91_R 6_V 0.74 0.00
37_V 35_E 0.72 0.00
100_W 13_K 0.72 0.00
74_K 28_P 0.72 0.00
31_V 44_T 0.71 0.00
58_Q 21_S 0.70 0.00
73_A 42_P 0.70 0.00
20_I 59_E 0.69 0.00
169_A 5_P 0.69 0.00
109_V 54_G 0.68 0.00
108_N 45_V 0.67 0.00
84_K 51_Y 0.67 0.00
103_L 22_H 0.66 0.00
120_L 34_P 0.65 0.00
135_L 41_P 0.65 0.00
96_R 18_A 0.65 0.00
177_G 9_K 0.65 0.00
178_F 13_K 0.64 0.00
169_A 13_K 0.63 0.00
166_D 58_L 0.62 0.00
73_A 25_L 0.62 0.00
41_Q 11_T 0.62 0.00
171_A 47_P 0.61 0.00
82_L 42_P 0.60 0.00
164_E 55_R 0.60 0.00
47_K 21_S 0.60 0.00
76_S 25_L 0.59 0.00
15_V 30_L 0.59 0.00
9_R 26_T 0.59 0.00
103_L 5_P 0.59 0.00
68_P 6_V 0.58 0.00
50_A 31_V 0.58 0.00
30_E 55_R 0.58 0.00
151_A 34_P 0.58 0.00
42_G 5_P 0.58 0.00
78_S 5_P 0.58 0.00
51_R 9_K 0.58 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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