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OPENSEQ.org

L23 - L32
UniProt: Q5SHP0 - P80339
Length: 156
Sequences: 959
Seq/Len: 6.44
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.
3v2c3v2dX5 3v2fX5Contact Map
2j002j01X5 2j03X5Contact Map
4juw4juxX5Contact Map
4kix4kixT0 4kizT0 4kj1T0 4kj3T0Contact Map
4kj54kj5T0 4kj7T0 4kj9T0 4kjbT0Contact Map
2zjr2zjrQZContact Map
4btc4btdX5Contact Map
3uyd3uyeT5 3uygT5Contact Map
4gd13r8sT0 3r8tT0Contact Map
3knh3kniX5 3knkX5Contact Map


Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
82_Q 48_E 0.90 0.01
35_T 21_S 0.84 0.01
9_L 22_H 0.84 0.01
26_Y 36_C 0.82 0.01
46_A 42_P 0.80 0.01
14_S 41_P 0.80 0.01
66_L 36_C 0.76 0.01
90_E 19_R 0.73 0.00
10_A 58_L 0.73 0.00
23_E 18_A 0.71 0.00
56_T 34_P 0.69 0.00
90_E 56_K 0.69 0.00
63_K 16_R 0.69 0.00
56_T 19_R 0.67 0.00
83_V 56_K 0.67 0.00
13_L 38_A 0.66 0.00
85_P 33_C 0.65 0.00
84_A 11_T 0.65 0.00
2_K 14_A 0.65 0.00
78_K 51_Y 0.65 0.00
25_K 53_A 0.64 0.00
2_K 16_R 0.63 0.00
18_Y 44_T 0.62 0.00
48_K 45_V 0.62 0.00
48_K 21_S 0.62 0.00
63_K 28_P 0.62 0.00
75_D 37_K 0.61 0.00
29_W 30_L 0.61 0.00
56_T 32_P 0.61 0.00
32_P 55_R 0.60 0.00
92_L 45_V 0.60 0.00
52_V 31_V 0.60 0.00
8_I 39_M 0.60 0.00
72_K 53_A 0.60 0.00
55_N 39_M 0.59 0.00
19_A 10_K 0.58 0.00
20_G 13_K 0.58 0.00
47_F 14_A 0.58 0.00
3_T 29_T 0.58 0.00
64_K 10_K 0.57 0.00
90_E 10_K 0.57 0.00
85_P 38_A 0.56 0.00
57_L 21_S 0.56 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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