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OPENSEQ.org
L30 - S13
UniProt: Q5SHQ6 - P80377
Length: 186
Sequences: 893
Seq/Len: 4.88
I_Prob: 0.01
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.
3v2c3v2cM 3v2d3 3v2eM 3v2f3Contact Map
2j002j00M 2j013 2j02M 2j033Contact Map
4juw4juwM 4jux3Contact Map
4kix4kixZ 4kiyM 4kizZ 4kj0M 4kj1Z 4kj2M 4kj3Z 4kj4MContact Map
4kj54kj5Z 4kj6M 4kj7Z 4kj8M 4kj9Z 4kjaM 4kjbZ 4kjcMContact Map
3knh3knhM 3kni3 3knjM 3knk3Contact Map
3ohc3ohcM 3ohdM 3ohj3 3ohk3Contact Map
3uz63uz6P 3uz7P 3uz8X 3uz9XContact Map
3oge3ogeM 3ogyM 3oh53 3oh73Contact Map
3uyd3uydP 3uyeX 3uyfP 3uygXContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
25_A 84_I 0.96 0.01
48_E 30_A 0.84 0.01
42_A 118_A 0.79 0.01
60_E 115_K 0.76 0.01
19_Q 14_R 0.75 0.01
48_E 58_E 0.75 0.01
25_A 12_N 0.74 0.01
53_L 7_V 0.73 0.01
44_R 69_E 0.68 0.01
54_V 35_E 0.68 0.01
20_K 113_P 0.67 0.01
50_V 86_C 0.65 0.01
24_K 23_Y 0.63 0.01
34_E 64_W 0.63 0.01
54_V 27_K 0.62 0.01
31_L 32_E 0.61 0.01
49_K 86_C 0.60 0.01
10_K 34_L 0.60 0.01
30_R 65_K 0.60 0.01
25_A 8_E 0.59 0.00
11_S 35_E 0.58 0.00
44_R 72_A 0.57 0.00
14_G 23_Y 0.57 0.00
52_H 61_E 0.57 0.00
33_Q 94_R 0.57 0.00
29_R 71_R 0.56 0.00
55_R 22_I 0.56 0.00
52_H 21_Y 0.55 0.00
54_V 46_K 0.55 0.00
3_R 114_R 0.55 0.00
7_K 20_T 0.55 0.00
47_V 63_T 0.55 0.00
51_A 86_C 0.54 0.00
22_A 73_E 0.54 0.00
8_L 60_V 0.54 0.00
32_Q 49_T 0.54 0.00
31_L 66_L 0.54 0.00
10_K 57_R 0.54 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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