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OPENSEQ.org
L34 - S17
UniProt: P80340 - Q5SHP7
Length: 154
Sequences: 870
Seq/Len: 6.85
I_Prob: 0.00
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 3v2d7 3v2eQ 3v2f7Contact Map
2j002j00Q 2j017 2j02Q 2j037Contact Map
4juw4juwQ 4jux7Contact Map
4kix4kix2 4kiyQ 4kiz2 4kj0Q 4kj12 4kj2Q 4kj32 4kj4QContact Map
4kj54kj52 4kj6Q 4kj72 4kj8Q 4kj92 4kjaQ 4kjb2 4kjcQContact Map
3uyd3uydT 3uye7 3uyfT 3uyg7Contact Map
4gd13r8s2 3r8t2 4gd1Q 4gd2QContact Map
3ohc3ohcQ 3ohdQ 3ohj7 3ohk7Contact Map
3knh3knhQ 3kni7 3knjQ 3knk7Contact Map
3ohy3ohyQ 3ohz7 3oi0Q 3oi17Contact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
10_R 4_K 0.81 0.00
41_R 67_K 0.80 0.00
32_K 26_Q 0.79 0.00
45_A 77_V 0.76 0.00
26_G 36_I 0.75 0.00
1_M 58_E 0.75 0.00
1_M 23_V 0.70 0.00
37_K 9_V 0.70 0.00
14_K 35_V 0.68 0.00
3_R 26_Q 0.67 0.00
14_K 4_K 0.66 0.00
19_R 34_K 0.65 0.00
2_K 54_G 0.65 0.00
9_R 70_R 0.64 0.00
3_R 68_R 0.63 0.00
1_M 73_V 0.63 0.00
28_R 74_L 0.62 0.00
40_W 65_I 0.61 0.00
24_T 19_V 0.60 0.00
31_L 57_V 0.59 0.00
14_K 41_K 0.59 0.00
23_R 76_L 0.58 0.00
8_N 35_V 0.57 0.00
3_R 40_K 0.57 0.00
30_V 50_K 0.57 0.00
29_K 40_K 0.57 0.00
11_K 40_K 0.56 0.00
37_K 62_S 0.56 0.00
8_N 39_S 0.56 0.00
32_K 42_Y 0.55 0.00
13_A 20_T 0.54 0.00
29_K 37_K 0.53 0.00
36_Q 79_S 0.52 0.00
29_K 22_L 0.52 0.00
32_K 9_V 0.52 0.00
23_R 37_K 0.52 0.00
23_R 56_V 0.52 0.00
3_R 54_G 0.51 0.00
25_P 67_K 0.51 0.00
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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