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OPENSEQ.org
L14 - S16
UniProt: Q5SHP8 - Q5SJH3
Length: 210
Sequences: 1122
Seq/Len: 5.42
I_Prob: 0.00
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.
3v2c3v2cP 3v2dO 3v2eP 3v2fOContact Map
2j002j00P 2j01O 2j02P 2j03OContact Map
4juw4juwP 4juxOContact Map
4kix4kixK 4kiyP 4kizK 4kj0P 4kj1K 4kj2P 4kj3K 4kj4PContact Map
4kj54kj5K 4kj6P 4kj7K 4kj8P 4kj9K 4kjaP 4kjbK 4kjcPContact Map
3knh3knhP 3kniO 3knjP 3knkOContact Map
3ohc3ohcP 3ohdP 3ohjO 3ohkOContact Map
3uz63uz6S 3uz7S 3uz8N 3uz9NContact Map
3oge3ogeP 3ogyP 3oh5O 3oh7OContact Map
3uyd3uydS 3uyeN 3uyfS 3uygNContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
92_E 7_A 0.84 0.00
52_V 73_L 0.78 0.00
110_G 7_A 0.77 0.00
56_D 20_V 0.74 0.00
17_R 7_A 0.74 0.00
14_T 15_P 0.74 0.00
23_R 65_Q 0.73 0.00
98_V 13_H 0.73 0.00
6_T 66_P 0.72 0.00
81_D 74_L 0.69 0.00
76_A 52_D 0.68 0.00
17_R 42_R 0.67 0.00
88_N 12_K 0.66 0.00
92_E 19_I 0.66 0.00
86_I 54_E 0.65 0.00
83_A 1_M 0.63 0.00
17_R 34_E 0.63 0.00
83_A 54_E 0.63 0.00
122_L 3_K 0.63 0.00
98_V 78_G 0.63 0.00
110_G 21_V 0.63 0.00
40_V 74_L 0.62 0.00
19_I 58_Y 0.62 0.00
11_A 2_V 0.62 0.00
66_K 42_R 0.62 0.00
113_K 76_Q 0.61 0.00
78_R 12_K 0.61 0.00
58_V 18_R 0.60 0.00
59_K 3_K 0.60 0.00
76_A 56_A 0.60 0.00
87_I 36_I 0.60 0.00
14_T 84_A 0.59 0.00
73_D 59_W 0.59 0.00
90_Q 2_V 0.58 0.00
111_F 72_R 0.58 0.00
92_E 2_V 0.58 0.00
54_E 5_R 0.58 0.00
68_E 2_V 0.57 0.00
45_E 35_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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