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OPENSEQ.org
L05 - S14
UniProt: Q5SHQ0 - Q5SHQ1
Length: 243
Sequences: 1114
Seq/Len: 4.66
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.
3v2c3v2cN 3v2dG 3v2eN 3v2fGContact Map
2j002j00N 2j01G 2j02N 2j03GContact Map
4juw4juwN 4juxGContact Map
4kix4kixF 4kiyN 4kizF 4kj0N 4kj1F 4kj2N 4kj3F 4kj4NContact Map
4kj54kj5F 4kj6N 4kj7F 4kj8N 4kj9F 4kjaN 4kjbF 4kjcNContact Map
3ohc3ohcN 3ohdN 3ohjG 3ohkGContact Map
3knh3knhN 3kniG 3knjN 3knkGContact Map
3uz63uz6Q 3uz7Q 3uz8G 3uz9GContact Map
3oge3ogeN 3ogyN 3oh5G 3oh7GContact Map
3uyd3uydQ 3uyeG 3uyfQ 3uygGContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
27_N 34_Y 0.89 0.00
74_K 21_Y 0.88 0.00
41_Q 36_F 0.82 0.00
167_E 46_E 0.78 0.00
115_R 39_L 0.77 0.00
132_N 37_F 0.76 0.00
138_Q 37_F 0.74 0.00
152_L 57_R 0.73 0.00
182_K 32_S 0.72 0.00
181_R 39_L 0.69 0.00
53_L 48_A 0.66 0.00
47_K 38_G 0.63 0.00
120_L 20_A 0.63 0.00
169_A 59_A 0.62 0.00
174_E 6_L 0.62 0.00
22_R 59_A 0.62 0.00
91_R 49_H 0.61 0.00
176_L 9_K 0.60 0.00
64_T 43_C 0.60 0.00
101_I 8_E 0.59 0.00
177_G 40_C 0.58 0.00
75_K 18_V 0.58 0.00
43_L 39_L 0.58 0.00
47_K 34_Y 0.58 0.00
8_K 59_A 0.58 0.00
181_R 53_L 0.58 0.00
60_L 32_S 0.58 0.00
47_K 18_V 0.57 0.00
150_D 52_Q 0.57 0.00
105_K 59_A 0.56 0.00
50_A 59_A 0.55 0.00
109_V 7_I 0.55 0.00
118_R 21_Y 0.55 0.00
68_P 6_L 0.55 0.00
177_G 37_F 0.55 0.00
55_K 59_A 0.55 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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