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OPENSEQ.org
L31 - S11
UniProt: Q5SJE1 - P80376
Length: 200
Sequences: 888
Seq/Len: 4.62
I_Prob: 0.12
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.
3v2c3v2cK 3v2d4 3v2eK 3v2f4Contact Map
2j002j00K 2j014 2j02K 2j034Contact Map
4juw4juwK 4jux4Contact Map
3uyd3uydN 3uye4 3uyfN 3uyg4Contact Map
3knh3knhK 3kni4 3knjK 3knk4Contact Map
3ohc3ohcK 3ohdK 3ohj4 3ohk4Contact Map
3f1e3f1eK 3f1f4 3f1gK 3f1h4Contact Map
3ohy3ohyK 3ohz4 3oi0K 3oi14Contact Map
3v223v22K 3v234 3v24K 3v254Contact Map
3uz63uz6N 3uz7N 3uz84 3uz94Contact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
38_K 59_Y 1.13 0.12
35_V 45_G 1.01 0.08
20_N 59_Y 0.99 0.08
3_E 101_S 0.95 0.07
56_V 35_P 0.91 0.06
28_K 105_V 0.90 0.06
1_M 85_R 0.87 0.05
43_Y 71_K 0.87 0.05
66_S 74_A 0.84 0.05
62_R 83_I 0.84 0.04
43_Y 107_S 0.83 0.04
46_Q 24_S 0.81 0.04
58_R 66_L 0.80 0.04
64_G 12_R 0.80 0.04
35_V 127_K 0.79 0.04
58_R 21_I 0.79 0.04
35_V 89_A 0.78 0.04
63_Y 64_A 0.77 0.03
57_E 48_I 0.77 0.03
57_E 21_I 0.75 0.03
49_F 98_L 0.75 0.03
60_Q 23_A 0.75 0.03
31_I 30_V 0.74 0.03
48_R 82_V 0.74 0.03
59_F 60_A 0.74 0.03
58_R 78_Q 0.74 0.03
53_E 19_A 0.72 0.03
56_V 36_D 0.70 0.03
13_R 21_I 0.70 0.03
4_G 22_H 0.70 0.03
4_G 62_Q 0.69 0.03
63_Y 97_A 0.69 0.03
34_E 66_L 0.68 0.02
52_T 44_S 0.67 0.02
53_E 72_A 0.66 0.02
55_R 119_C 0.65 0.02
31_I 124_K 0.65 0.02
4_G 41_T 0.65 0.02
43_Y 44_S 0.65 0.02
32_Y 15_A 0.64 0.02
57_E 103_L 0.64 0.02
19_G 125_F 0.64 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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