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OPENSEQ.org

L30 - S02
UniProt: Q5SHQ6 - P80371
Length: 316
Sequences: 862
Seq/Len: 2.99
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.
3v2c3v2cB 3v2d3 3v2eB 3v2f3Contact Map
2j002j00B 2j013 2j02B 2j033Contact Map
4juw4juwB 4jux3Contact Map
4kix4kixZ 4kiyB 4kizZ 4kj0B 4kj1Z 4kj2B 4kj3Z 4kj4BContact Map
4kj54kj5Z 4kj6B 4kj7Z 4kj8B 4kj9Z 4kjaB 4kjbZ 4kjcBContact Map
3ohc3ohcB 3ohdB 3ohj3 3ohk3Contact Map
3knh3knhB 3kni3 3knjB 3knk3Contact Map
3uz63uz6E 3uz7E 3uz8X 3uz9XContact Map
3oge3ogeB 3ogyB 3oh53 3oh73Contact Map
3uyd3uydE 3uyeX 3uyfE 3uygXContact Map


Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
48_E 179_K 1.00 0.01
17_K 92_Y 0.96 0.01
8_L 84_E 0.93 0.01
14_G 208_I 0.93 0.01
20_K 185_I 0.91 0.01
6_V 112_V 0.81 0.00
49_K 68_I 0.81 0.00
9_V 181_F 0.75 0.00
49_K 13_A 0.75 0.00
41_P 142_L 0.75 0.00
17_K 208_I 0.73 0.00
7_K 229_V 0.72 0.00
14_G 45_Q 0.71 0.00
23_L 25_N 0.71 0.00
38_E 130_R 0.70 0.00
59_V 136_V 0.69 0.00
52_H 23_R 0.68 0.00
20_K 101_M 0.67 0.00
23_L 135_Q 0.66 0.00
33_Q 118_L 0.66 0.00
25_A 34_A 0.66 0.00
30_R 48_M 0.66 0.00
41_P 181_F 0.66 0.00
54_V 62_A 0.66 0.00
48_E 64_R 0.65 0.00
52_H 168_T 0.65 0.00
54_V 175_R 0.64 0.00
33_Q 47_T 0.63 0.00
22_A 211_I 0.63 0.00
18_D 108_I 0.63 0.00
13_I 42_I 0.63 0.00
48_E 59_E 0.63 0.00
33_Q 39_I 0.62 0.00
23_L 149_L 0.62 0.00
8_L 93_V 0.62 0.00
42_A 130_R 0.61 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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