OPENSEQ.org
L16 - L22
UniProt: P60489 - Q5SHP3
Length: 254
Sequences: 1195
Seq/Len: 4.80
I_Prob: 0.07
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.
1vqo1vqoHRContact Map
1vq81vq8HRContact Map
1vqp1vqpHRContact Map
1vqm1vqmHRContact Map
1vql1vqlHRContact Map
1vqk1vqkHRContact Map
1yhq1yhqHRContact Map
1s721s72HRContact Map
1vq91vq9HRContact Map
1vqn1vqnHRContact Map


Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
13_Q 86_L 1.08 0.07
42_I 70_Y 0.93 0.04
85_K 94_D 0.80 0.03
6_R 82_L 0.80 0.03
89_N 8_R 0.79 0.03
29_F 19_L 0.77 0.03
43_T 74_A 0.77 0.02
27_V 14_P 0.75 0.02
53_A 55_A 0.75 0.02
13_Q 6_I 0.74 0.02
89_N 71_V 0.74 0.02
111_E 89_A 0.73 0.02
54_M 87_P 0.73 0.02
104_F 60_N 0.73 0.02
45_Q 18_R 0.73 0.02
110_T 43_G 0.71 0.02
129_T 103_I 0.70 0.02
16_R 76_V 0.69 0.02
134_R 71_V 0.68 0.02
34_L 67_D 0.67 0.02
92_G 52_E 0.66 0.02
64_I 34_N 0.65 0.02
131_I 102_H 0.65 0.02
78_P 42_R 0.65 0.01
52_V 63_D 0.65 0.01
104_F 64_M 0.64 0.01
73_P 92_R 0.64 0.01
44_A 14_P 0.63 0.01
61_G 7_A 0.63 0.01
58_F 9_Y 0.62 0.01
35_V 19_L 0.62 0.01
92_G 63_D 0.61 0.01
40_A 46_F 0.61 0.01
21_T 109_E 0.61 0.01
122_G 95_I 0.60 0.01
63_K 80_P 0.60 0.01
32_Y 30_E 0.60 0.01
23_G 10_V 0.59 0.01
93_Y 64_M 0.59 0.01
120_I 34_N 0.59 0.01
132_V 51_L 0.59 0.01
33_G 91_G 0.58 0.01
34_L 110_K 0.58 0.01
11_K 52_E 0.57 0.01
6_R 56_A 0.57 0.01
129_T 8_R 0.57 0.01
11_K 77_D 0.57 0.01
65_F 70_Y 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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