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OPENSEQ.org
S15 - S18
UniProt: Q5SJ76 - Q5SLQ0
Length: 177
Sequences: 1082
Seq/Len: 6.89
I_Prob: 0.18
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.
2vqe2vqeORContact Map
1g1x1g1xBGHCContact Map
3v2c3v2cOR 3v2eORContact Map
2uub2uubORContact Map
2j002j00OR 2j02ORContact Map
3t1y3t1yORContact Map
2uua2uuaORContact Map
4b3m4b3mORContact Map
2uxc2uxcORContact Map
4kix4kiyOR 4kj0OR 4kj2OR 4kj4ORContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
58_M 72_R 1.14 0.18
50_H 43_F 0.92 0.09
38_R 45_S 0.90 0.08
38_R 81_F 0.88 0.07
60_V 22_V 0.83 0.06
61_G 47_T 0.79 0.05
27_V 70_I 0.79 0.05
32_L 60_A 0.78 0.05
73_E 61_K 0.78 0.05
88_R 54_R 0.76 0.05
61_G 53_R 0.76 0.05
4_T 19_K 0.73 0.04
8_K 17_S 0.72 0.04
37_N 70_I 0.72 0.04
27_V 81_F 0.71 0.04
3_I 45_S 0.70 0.04
44_K 47_T 0.69 0.04
47_K 53_R 0.69 0.04
27_V 66_L 0.67 0.03
87_I 22_V 0.67 0.03
33_T 17_S 0.66 0.03
89_G 42_R 0.64 0.03
51_H 82_T 0.64 0.03
80_A 70_I 0.63 0.03
5_K 53_R 0.62 0.03
73_E 31_L 0.61 0.03
17_R 81_F 0.61 0.03
14_E 46_E 0.61 0.03
45_V 81_F 0.60 0.03
65_R 66_L 0.60 0.03
67_L 33_D 0.60 0.03
80_A 41_K 0.60 0.02
54_R 36_N 0.60 0.02
64_R 79_L 0.60 0.02
43_L 23_K 0.59 0.02
15_F 37_V 0.59 0.02
65_R 51_L 0.59 0.02
75_P 38_E 0.58 0.02
7_E 42_R 0.58 0.02
54_R 80_P 0.58 0.02
48_K 75_I 0.57 0.02
84_K 76_L 0.57 0.02
48_K 51_L 0.57 0.02
62_Q 47_T 0.57 0.02
13_Q 27_G 0.56 0.02
35_R 23_K 0.56 0.02
46_H 65_I 0.56 0.02
71_Q 81_F 0.55 0.02
69_Y 49_K 0.55 0.02
50_H 51_L 0.55 0.02
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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