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OPENSEQ.org
L21 - S18
UniProt: P60492 - Q5SLQ0
Length: 189
Sequences: 1152
Seq/Len: 6.82
I_Prob: 0.04
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.
3v2c3v2cR 3v2dV 3v2eR 3v2fVContact Map
2j002j00R 2j01V 2j02R 2j03VContact Map
4juw4juwR 4juxVContact Map
4kix4kixR 4kiyR 4kizR 4kj0R 4kj1R 4kj2R 4kj3R 4kj4RContact Map
4kj54kj5R 4kj6R 4kj7R 4kj8R 4kj9R 4kjaR 4kjbR 4kjcRContact Map
3uyd3uydU 3uye2 3uyfU 3uyg2Contact Map
3knh3knhR 3kniV 3knjR 3knkVContact Map
3ohc3ohcR 3ohdR 3ohjV 3ohkVContact Map
3f1e3f1eR 3f1fV 3f1gR 3f1hVContact Map
3ohy3ohyR 3ohzV 3oi0R 3oi1VContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
37_V 81_F 1.01 0.04
37_V 70_I 0.86 0.02
34_E 67_A 0.82 0.02
53_E 78_L 0.73 0.01
78_K 23_K 0.72 0.01
35_L 21_K 0.72 0.01
94_L 18_R 0.70 0.01
77_A 23_K 0.67 0.01
17_G 41_K 0.64 0.01
81_Y 70_I 0.63 0.01
72_V 77_G 0.63 0.01
61_V 19_K 0.62 0.01
4_I 48_G 0.60 0.01
89_Q 64_R 0.59 0.01
16_P 45_S 0.59 0.01
98_E 30_D 0.59 0.01
75_F 17_S 0.59 0.01
83_R 36_N 0.58 0.01
21_R 31_L 0.57 0.01
53_E 49_K 0.56 0.01
67_G 75_I 0.56 0.01
80_Q 58_L 0.55 0.01
6_K 38_E 0.55 0.01
64_H 21_K 0.55 0.01
36_P 72_R 0.55 0.01
94_L 39_V 0.55 0.01
70_I 38_E 0.55 0.01
39_L 24_A 0.54 0.01
1_M 20_A 0.54 0.01
87_H 64_R 0.53 0.01
66_R 84_K 0.52 0.01
50_P 70_I 0.52 0.01
73_S 47_T 0.52 0.01
77_A 79_L 0.51 0.01
83_R 38_E 0.51 0.01
62_L 44_L 0.51 0.01
96_I 52_P 0.51 0.01
55_A 37_V 0.51 0.01
72_V 47_T 0.50 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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