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OPENSEQ.org
L36 - S09
UniProt: Q5SHR2 - P80374
Length: 165
Sequences: 795
Seq/Len: 4.88
I_Prob: 0.29
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.
3v2c3v2cI 3v2d9 3v2eI 3v2f9Contact Map
2j002j00I 2j019 2j02I 2j039Contact Map
4juw4juwI 4jux9Contact Map
4kix4kix4 4kiyI 4kiz4 4kj0I 4kj14 4kj2I 4kj34 4kj4IContact Map
4kj54kj54 4kj6I 4kj74 4kj8I 4kj94 4kjaI 4kjb4 4kjcIContact Map
4gd13r8s4 3r8t4 4gd1I 4gd2IContact Map
3knh3knhI 3kni9 3knjI 3knk9Contact Map
3v223v22I 3v239 3v24I 3v259Contact Map
3ofo3ofoI 3ofpI 3ofq4 3ofr4Contact Map
2y102y10I 2y119 2y18I 2y199Contact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
35_R 23_N 1.22 0.29
23_V 75_D 1.09 0.20
25_V 58_H 0.91 0.11
5_A 99_L 0.89 0.10
31_K 114_Y 0.88 0.10
18_R 14_V 0.87 0.10
31_K 55_A 0.85 0.09
29_N 114_Y 0.83 0.09
13_K 114_Y 0.80 0.07
31_K 59_F 0.78 0.07
9_R 75_D 0.77 0.07
5_A 89_N 0.76 0.06
9_R 35_E 0.74 0.06
18_R 23_N 0.74 0.06
35_R 3_Q 0.74 0.06
17_I 54_D 0.72 0.06
21_G 16_R 0.72 0.05
21_G 104_R 0.72 0.05
15_K 93_R 0.71 0.05
31_K 39_G 0.70 0.05
4_R 42_R 0.70 0.05
16_V 62_Y 0.69 0.05
22_R 118_K 0.69 0.05
24_Y 116_K 0.69 0.05
25_V 3_Q 0.68 0.04
5_A 40_L 0.67 0.04
24_Y 109_V 0.66 0.04
16_V 56_L 0.65 0.04
9_R 66_R 0.65 0.04
4_R 3_Q 0.64 0.04
27_C 7_T 0.64 0.04
32_H 86_V 0.63 0.04
18_R 43_A 0.63 0.04
18_R 63_I 0.63 0.04
15_K 48_E 0.63 0.04
17_I 102_L 0.62 0.04
29_N 42_R 0.62 0.04
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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