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OPENSEQ.org
L22 - S02
UniProt: Q5SHP3 - P80371
Length: 369
Sequences: 1481
Seq/Len: 4.37
I_Prob: 0.02
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 3v2dW 3v2eB 3v2fWContact Map
2j002j00B 2j01W 2j02B 2j03WContact Map
4juw4juwB 4juxWContact Map
4kix4kixS 4kiyB 4kizS 4kj0B 4kj1S 4kj2B 4kj3S 4kj4BContact Map
4kj54kj5S 4kj6B 4kj7S 4kj8B 4kj9S 4kjaB 4kjbS 4kjcBContact Map
3ohc3ohcB 3ohdB 3ohjW 3ohkWContact Map
3knh3knhB 3kniW 3knjB 3knkWContact Map
3uz63uz6E 3uz7E 3uz8S 3uz9SContact Map
3u5b3u5cA 3u5eP 3u5gA 3u5iPContact Map
3oge3ogeB 3ogyB 3oh5W 3oh7WContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
30_E 147_K 1.02 0.02
9_Y 101_M 0.86 0.02
106_I 210_S 0.82 0.01
24_I 69_L 0.79 0.01
18_R 203_G 0.79 0.01
55_A 144_R 0.79 0.01
92_R 40_H 0.78 0.01
55_A 152_F 0.78 0.01
1_M 141_E 0.78 0.01
62_H 51_L 0.76 0.01
19_L 136_V 0.76 0.01
65_L 91_P 0.74 0.01
60_N 51_L 0.73 0.01
15_R 122_F 0.71 0.01
1_M 161_A 0.71 0.01
94_D 129_E 0.69 0.01
66_E 34_A 0.68 0.01
39_T 61_L 0.68 0.01
76_V 34_A 0.68 0.01
106_I 79_D 0.68 0.01
44_A 156_K 0.67 0.01
105_V 53_R 0.67 0.01
2_E 186_A 0.66 0.01
1_M 105_F 0.66 0.01
7_A 121_L 0.65 0.01
90_R 160_D 0.65 0.01
78_E 127_I 0.65 0.01
83_K 40_H 0.64 0.01
81_A 93_V 0.64 0.01
60_N 228_G 0.64 0.01
14_P 184_V 0.64 0.01
2_E 114_R 0.64 0.01
3_A 165_V 0.63 0.01
30_E 210_S 0.63 0.01
85_V 185_I 0.63 0.01
16_K 32_I 0.63 0.01
17_V 69_L 0.62 0.01
51_L 63_M 0.62 0.01
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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