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OPENSEQ.org
L09 - L17
UniProt: Q5SLQ1 - Q9Z9H5
Length: 266
Sequences: 1417
Seq/Len: 5.35
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.
3v2c3v2dIR 3v2fIRContact Map
2j002j01IR 2j03IRContact Map
4kix4kixHN 4kizHN 4kj1HN 4kj3HNContact Map
4kj54kj5HN 4kj7HN 4kj9HN 4kjbHNContact Map
3uyd3uyeK0 3uygK0Contact Map
3v223v23IR 3v25IRContact Map
4gd13r8sHN 3r8tHNContact Map
3uz63uz8K0 3uz9K0Contact Map
3knh3kniIR 3knkIRContact Map
3ohc3ohjIR 3ohkIRContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
111_P 82_E 0.98 0.02
89_Y 10_L 0.90 0.02
32_P 55_A 0.86 0.01
96_D 98_L 0.78 0.01
77_L 87_Y 0.77 0.01
121_K 113_L 0.74 0.01
134_P 87_Y 0.74 0.01
43_N 13_H 0.73 0.01
22_K 28_L 0.72 0.01
91_S 87_Y 0.70 0.01
120_I 89_D 0.70 0.01
61_R 108_G 0.69 0.01
19_V 32_G 0.69 0.01
92_V 70_L 0.68 0.01
56_K 24_Q 0.67 0.01
130_Y 44_L 0.67 0.01
96_D 33_R 0.66 0.01
27_R 101_A 0.65 0.01
146_A 114_V 0.65 0.01
142_V 109_A 0.64 0.01
91_S 85_P 0.64 0.01
57_R 114_V 0.63 0.01
137_P 51_L 0.62 0.01
26_A 35_T 0.61 0.01
14_D 87_Y 0.61 0.01
127_V 70_L 0.61 0.01
72_L 75_L 0.60 0.01
58_L 30_T 0.59 0.01
119_P 57_R 0.59 0.01
110_D 70_L 0.59 0.01
82_R 42_K 0.58 0.01
101_L 75_L 0.58 0.01
26_A 28_L 0.58 0.01
114_L 39_P 0.58 0.01
101_L 77_R 0.58 0.01
82_R 50_H 0.57 0.01
20_D 95_T 0.57 0.01
88_I 48_V 0.57 0.01
34_G 65_L 0.56 0.01
116_L 8_R 0.56 0.01
34_G 110_P 0.56 0.01
12_L 27_S 0.55 0.01
49_A 69_D 0.55 0.01
72_L 108_G 0.55 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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