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OPENSEQ.org
L04 - S08
UniProt: Q5SHN9 - Q5SHQ2
Length: 348
Sequences: 1630
Seq/Len: 4.94
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.
3v2c3v2cH 3v2dF 3v2eH 3v2fFContact Map
2j002j00H 2j01F 2j02H 2j03FContact Map
4juw4juwH 4juxFContact Map
4kix4kixE 4kiyH 4kizE 4kj0H 4kj1E 4kj2H 4kj3E 4kj4HContact Map
4kj54kj5E 4kj6H 4kj7E 4kj8H 4kj9E 4kjaH 4kjbE 4kjcHContact Map
3knh3knhH 3kniF 3knjH 3knkFContact Map
3ohc3ohcH 3ohdH 3ohjF 3ohkFContact Map
3uz63uz6K 3uz7K 3uz8F 3uz9FContact Map
3u5b3u5cW 3u5eC 3u5gW 3u5iCContact Map
3oge3ogeH 3ogyH 3oh5F 3oh7FContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
12_L 129_V 0.93 0.01
145_E 41_R 0.87 0.01
58_A 61_V 0.85 0.01
11_V 105_R 0.80 0.01
44_R 26_V 0.78 0.01
187_V 134_I 0.77 0.01
104_K 80_I 0.77 0.01
85_G 90_G 0.73 0.01
114_V 129_V 0.71 0.01
84_V 127_L 0.71 0.01
62_R 104_R 0.70 0.01
85_G 53_V 0.68 0.00
33_L 67_P 0.68 0.00
186_I 86_I 0.68 0.00
202_F 44_F 0.67 0.00
28_I 112_L 0.66 0.00
21_A 100_I 0.65 0.00
61_G 135_C 0.65 0.00
125_L 99_E 0.64 0.00
23_D 52_D 0.64 0.00
34_W 105_R 0.64 0.00
155_L 121_D 0.63 0.00
10_P 134_I 0.63 0.00
109_G 3_T 0.63 0.00
28_I 128_G 0.63 0.00
121_G 75_R 0.62 0.00
23_D 102_R 0.61 0.00
106_R 31_F 0.61 0.00
93_K 112_L 0.60 0.00
112_M 136_E 0.60 0.00
68_K 132_E 0.60 0.00
90_F 91_R 0.60 0.00
189_T 100_I 0.59 0.00
89_V 104_R 0.59 0.00
187_V 99_E 0.58 0.00
139_F 120_T 0.57 0.00
154_V 21_K 0.57 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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