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OPENSEQ.org
L14 - L23
UniProt: Q5SHP8 - Q5SHP0
Length: 218
Sequences: 1301
Seq/Len: 6.08
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.
1vqo1vqoKSContact Map
1vq81vq8KSContact Map
1vqp1vqpKSContact Map
1vqm1vqmKSContact Map
1vql1vqlKSContact Map
1vqk1vqkKSContact Map
1yhq1yhqKSContact Map
1s721s72KSContact Map
1vq91vq9KSContact Map
1vqn1vqnKSContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
113_K 45_T 0.97 0.02
94_R 26_Y 0.97 0.02
96_T 54_V 0.93 0.02
110_G 18_Y 0.86 0.01
14_T 82_Q 0.85 0.01
115_V 24_G 0.81 0.01
50_G 21_F 0.80 0.01
45_E 40_K 0.79 0.01
14_T 12_V 0.79 0.01
84_A 44_E 0.78 0.01
103_A 73_R 0.78 0.01
104_R 81_V 0.75 0.01
53_K 28_F 0.75 0.01
68_E 8_I 0.75 0.01
39_I 62_K 0.73 0.01
78_R 18_Y 0.72 0.01
51_A 45_T 0.71 0.01
56_D 56_T 0.70 0.01
63_V 27_T 0.70 0.01
54_E 39_I 0.68 0.01
97_R 86_G 0.68 0.01
20_M 70_L 0.67 0.01
92_E 76_R 0.66 0.01
110_G 65_R 0.66 0.01
56_D 72_K 0.65 0.01
29_N 72_K 0.65 0.01
114_I 86_G 0.65 0.01
32_Y 71_G 0.65 0.01
19_I 74_P 0.65 0.01
84_A 94_G 0.64 0.01
77_I 55_N 0.64 0.01
122_L 68_R 0.64 0.01
9_E 55_N 0.64 0.01
79_F 77_K 0.64 0.01
6_T 93_E 0.63 0.01
109_K 23_E 0.63 0.01
93_P 94_G 0.63 0.01
121_V 16_K 0.63 0.01
89_N 70_L 0.63 0.01
41_A 16_K 0.63 0.01
51_A 66_L 0.63 0.01
91_L 78_K 0.62 0.01
84_A 73_R 0.62 0.01
16_A 51_V 0.62 0.01
112_M 8_I 0.62 0.01
29_N 23_E 0.61 0.01
110_G 2_K 0.61 0.01
88_N 17_A 0.60 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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