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OPENSEQ.org

L05 - L17
UniProt: Q5SHQ0 - Q9Z9H5
Length: 300
Sequences: 1236
Seq/Len: 4.18
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.
3v2c3v2dGR 3v2fGRContact Map
2j002j01GR 2j03GRContact Map
4juw4juxGRContact Map
4kix4kixFN 4kizFN 4kj1FN 4kj3FNContact Map
4kj54kj5FN 4kj7FN 4kj9FN 4kjbFNContact Map
2zjr2zjrDKContact Map
4btc4btdGRContact Map
3uyd3uyeG0 3uygG0Contact Map
4gd13r8sFN 3r8tFNContact Map
3knh3kniGR 3knkGRContact Map


Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
19_L 98_L 0.89 0.00
98_R 68_R 0.84 0.00
90_L 110_P 0.81 0.00
49_D 25_A 0.79 0.00
27_N 58_G 0.78 0.00
90_L 102_E 0.78 0.00
82_L 76_V 0.76 0.00
132_N 54_L 0.76 0.00
107_L 52_I 0.71 0.00
177_G 95_T 0.69 0.00
181_R 86_R 0.69 0.00
121_N 27_S 0.68 0.00
79_N 32_G 0.68 0.00
165_T 98_L 0.67 0.00
47_K 91_Q 0.66 0.00
72_R 85_P 0.66 0.00
132_N 62_A 0.66 0.00
57_A 74_K 0.66 0.00
20_I 15_S 0.65 0.00
19_L 112_A 0.64 0.00
160_V 33_R 0.64 0.00
27_N 7_G 0.62 0.00
100_W 118_E 0.61 0.00
158_A 48_V 0.60 0.00
162_T 89_D 0.60 0.00
142_P 17_R 0.59 0.00
105_K 46_G 0.59 0.00
79_N 70_L 0.59 0.00
27_N 76_V 0.59 0.00
15_V 98_L 0.59 0.00
52_I 99_K 0.59 0.00
96_R 7_G 0.58 0.00
96_R 33_R 0.58 0.00
23_F 97_V 0.58 0.00
174_E 24_Q 0.58 0.00
72_R 83_I 0.58 0.00
55_K 48_V 0.58 0.00
87_P 44_L 0.57 0.00
146_Y 78_K 0.57 0.00
18_E 18_L 0.57 0.00
142_P 3_H 0.57 0.00
47_K 14_S 0.57 0.00
176_L 103_R 0.56 0.00
120_L 19_A 0.56 0.00
170_R 76_V 0.56 0.00
171_A 30_T 0.56 0.00
109_V 32_G 0.55 0.00
158_A 52_I 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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