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OPENSEQ.org
L31 - S05
UniProt: Q5SJE1 - Q5SHQ5
Length: 233
Sequences: 1005
Seq/Len: 4.55
I_Prob: 0.33
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.
3v2c3v2cE 3v2d4 3v2eE 3v2f4Contact Map
2j002j00E 2j014 2j02E 2j034Contact Map
4juw4juwE 4jux4Contact Map
3uyd3uydH 3uye4 3uyfH 3uyg4Contact Map
3knh3knhE 3kni4 3knjE 3knk4Contact Map
3ohc3ohcE 3ohdE 3ohj4 3ohk4Contact Map
3f1e3f1eE 3f1f4 3f1gE 3f1h4Contact Map
3ohy3ohyE 3ohz4 3oi0E 3oi14Contact Map
3v223v22E 3v234 3v24E 3v254Contact Map
3uz63uz6H 3uz7H 3uz84 3uz94Contact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
14_I 24_R 1.24 0.33
62_R 106_P 1.21 0.30
63_Y 123_L 1.15 0.26
63_Y 95_A 0.97 0.15
49_F 58_A 0.94 0.14
51_D 127_N 0.80 0.08
53_E 87_S 0.79 0.08
53_E 117_D 0.78 0.07
15_I 120_T 0.77 0.07
53_E 58_A 0.77 0.07
56_V 115_V 0.75 0.07
62_R 150_R 0.75 0.07
58_R 80_I 0.74 0.06
66_S 137_E 0.73 0.06
58_R 106_P 0.70 0.05
60_Q 19_M 0.68 0.05
2_K 146_A 0.67 0.05
4_G 69_V 0.67 0.05
49_F 43_L 0.67 0.05
25_Y 37_R 0.67 0.05
39_C 24_R 0.67 0.04
31_I 147_D 0.67 0.04
12_A 100_V 0.65 0.04
35_V 145_K 0.65 0.04
42_F 93_P 0.65 0.04
13_R 144_T 0.65 0.04
22_I 112_L 0.64 0.04
22_I 65_N 0.64 0.04
53_E 156_A 0.64 0.04
19_G 91_L 0.64 0.04
35_V 21_A 0.64 0.04
17_G 77_P 0.64 0.04
61_R 131_I 0.63 0.04
12_A 13_I 0.63 0.04
22_I 132_A 0.62 0.04
63_Y 87_S 0.62 0.04
64_G 61_Y 0.62 0.04
53_E 131_I 0.62 0.04
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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