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OPENSEQ.org
L21 - S17
UniProt: P60492 - Q5SHP7
Length: 206
Sequences: 1275
Seq/Len: 6.97
I_Prob: 0.09
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.
3v2c3v2cQ 3v2dV 3v2eQ 3v2fVContact Map
2j002j00Q 2j01V 2j02Q 2j03VContact Map
4juw4juwQ 4juxVContact Map
4kix4kixR 4kiyQ 4kizR 4kj0Q 4kj1R 4kj2Q 4kj3R 4kj4QContact Map
4kj54kj5R 4kj6Q 4kj7R 4kj8Q 4kj9R 4kjaQ 4kjbR 4kjcQContact Map
3uyd3uydT 3uye2 3uyfT 3uyg2Contact Map
4gd13r8sR 3r8tR 4gd1Q 4gd2QContact Map
3knh3knhQ 3kniV 3knjQ 3knkVContact Map
3ohc3ohcQ 3ohdQ 3ohjV 3ohkVContact Map
3f1e3f1eQ 3f1fV 3f1gQ 3f1hVContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
96_I 67_K 1.08 0.09
78_K 35_V 1.02 0.08
66_R 60_I 0.78 0.03
78_K 25_R 0.71 0.03
51_V 41_K 0.69 0.02
72_V 7_T 0.66 0.02
74_K 36_I 0.64 0.02
1_M 67_K 0.63 0.02
78_K 43_L 0.61 0.02
4_I 65_I 0.60 0.02
39_L 23_V 0.60 0.02
38_L 47_P 0.59 0.02
56_S 16_Q 0.58 0.01
45_T 44_A 0.58 0.01
4_I 54_G 0.57 0.01
17_G 62_S 0.57 0.01
12_Y 68_R 0.56 0.01
52_V 11_V 0.56 0.01
21_R 71_F 0.56 0.01
4_I 31_L 0.56 0.01
100_R 42_Y 0.55 0.01
61_V 55_D 0.54 0.01
77_A 25_R 0.54 0.01
55_A 9_V 0.53 0.01
84_K 32_Y 0.53 0.01
38_L 9_V 0.53 0.01
63_G 68_R 0.53 0.01
22_V 72_R 0.53 0.01
33_V 6_L 0.52 0.01
52_V 30_P 0.52 0.01
12_Y 33_G 0.51 0.01
83_R 27_F 0.51 0.01
30_G 54_G 0.51 0.01
13_R 28_P 0.51 0.01
63_G 76_L 0.50 0.01
20_L 43_L 0.49 0.01
70_I 16_Q 0.49 0.01
23_E 41_K 0.48 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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