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OPENSEQ.org
L18 - S08
UniProt: Q5SHQ4 - Q5SHQ2
Length: 250
Sequences: 1250
Seq/Len: 5.21
I_Prob: 0.24
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.
3v2c3v2cH 3v2dS 3v2eH 3v2fSContact Map
2j002j00H 2j01S 2j02H 2j03SContact Map
4juw4juwH 4juxSContact Map
4kix4kixO 4kiyH 4kizO 4kj0H 4kj1O 4kj2H 4kj3O 4kj4HContact Map
4kj54kj5O 4kj6H 4kj7O 4kj8H 4kj9O 4kjaH 4kjbO 4kjcHContact Map
3ohc3ohcH 3ohdH 3ohjS 3ohkSContact Map
3knh3knhH 3kniS 3knjH 3knkSContact Map
3uz63uz6K 3uz7K 3uz8Q 3uz9QContact Map
3oge3ogeH 3ogyH 3oh5S 3oh7SContact Map
3uyd3uydK 3uyeQ 3uyfK 3uygQContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
32_L 105_R 1.19 0.24
65_V 9_M 0.92 0.10
7_Y 32_K 0.83 0.08
86_A 112_L 0.80 0.07
62_K 79_V 0.76 0.06
32_L 129_V 0.73 0.05
34_H 42_E 0.72 0.05
11_K 135_C 0.71 0.04
92_Y 76_P 0.70 0.04
110_L 107_L 0.69 0.04
53_S 98_K 0.69 0.04
5_T 118_V 0.68 0.04
58_L 119_L 0.68 0.04
10_R 9_M 0.66 0.04
29_F 13_I 0.65 0.04
63_T 52_D 0.65 0.04
23_R 46_K 0.64 0.03
101_L 79_V 0.64 0.03
101_L 13_I 0.63 0.03
16_N 115_S 0.63 0.03
22_G 6_I 0.63 0.03
54_L 44_F 0.63 0.03
14_V 56_K 0.63 0.03
30_R 22_E 0.62 0.03
45_G 19_V 0.61 0.03
29_F 21_K 0.60 0.03
81_G 105_R 0.59 0.03
99_K 34_E 0.59 0.03
27_S 135_C 0.59 0.03
112_F 116_K 0.59 0.03
32_L 97_V 0.58 0.03
44_K 23_S 0.58 0.03
42_D 90_G 0.58 0.03
27_S 3_T 0.57 0.03
78_L 118_V 0.57 0.02
78_L 111_I 0.57 0.02
29_F 26_V 0.57 0.02
71_R 64_K 0.57 0.02
53_S 91_R 0.56 0.02
78_L 46_K 0.56 0.02
39_I 9_M 0.56 0.02
29_F 33_E 0.56 0.02
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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