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OPENSEQ.org
L14 - L15
UniProt: Q5SHP8 - Q5SHQ7
Length: 272
Sequences: 1264
Seq/Len: 4.77
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.
1vqo1vqoKLOContact Map
1vq81vq8KLOContact Map
1vqp1vqpKLOContact Map
1vqm1vqmKLOContact Map
1vql1vqlKLOContact Map
1vqk1vqkKLOContact Map
1yhq1yhqKLOContact Map
1s721s72KLOContact Map
1vq91vq9KLOContact Map
1vqn1vqnKLOContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
4_P 56_S 0.92 0.01
17_R 33_R 0.90 0.01
88_N 137_K 0.81 0.01
66_K 31_A 0.78 0.01
59_K 139_K 0.78 0.01
86_I 103_A 0.77 0.01
113_K 20_G 0.75 0.01
14_T 116_G 0.74 0.01
28_S 35_H 0.71 0.00
66_K 33_R 0.71 0.00
17_R 107_K 0.68 0.00
87_I 75_I 0.68 0.00
113_K 130_F 0.68 0.00
63_V 125_V 0.67 0.00
23_R 129_A 0.67 0.00
111_F 35_H 0.66 0.00
43_V 80_Y 0.66 0.00
50_G 3_L 0.66 0.00
65_T 15_R 0.65 0.00
110_G 96_T 0.64 0.00
54_E 1_M 0.64 0.00
69_I 76_K 0.64 0.00
77_I 21_R 0.63 0.00
68_E 6_L 0.63 0.00
67_K 8_P 0.63 0.00
113_K 62_L 0.62 0.00
98_V 14_K 0.62 0.00
95_G 84_N 0.62 0.00
86_I 4_S 0.61 0.00
115_V 76_K 0.61 0.00
21_C 137_K 0.61 0.00
114_I 145_P 0.60 0.00
115_V 4_S 0.60 0.00
90_Q 79_R 0.60 0.00
17_R 76_K 0.59 0.00
98_V 25_S 0.59 0.00
112_M 77_R 0.59 0.00
98_V 99_L 0.59 0.00
34_T 113_K 0.59 0.00
87_I 85_L 0.59 0.00
96_T 63_P 0.58 0.00
4_P 97_P 0.58 0.00
110_G 16_R 0.58 0.00
9_E 85_L 0.58 0.00
25_L 24_G 0.58 0.00
72_P 33_R 0.58 0.00
24_V 8_P 0.58 0.00
59_K 115_L 0.57 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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