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OPENSEQ.org

L36 - S19
UniProt: Q5SHR2 - Q5SHP2
Length: 130
Sequences: 679
Seq/Len: 5.35
I_Prob: 0.84
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.
3v2c3v2cS 3v2d9 3v2eS 3v2f9Contact Map
2j002j00S 2j019 2j02S 2j039Contact Map
4juw4juwS 4jux9Contact Map
4kix4kix4 4kiyS 4kiz4 4kj0S 4kj14 4kj2S 4kj34 4kj4SContact Map
4kj54kj54 4kj6S 4kj74 4kj8S 4kj94 4kjaS 4kjb4 4kjcSContact Map
4gd13r8s4 3r8t4 4gd1S 4gd2SContact Map
3knh3knhS 3kni9 3knjS 3knk9Contact Map
3v223v22S 3v239 3v24S 3v259Contact Map
3ofo3ofoS 3ofpS 3ofq4 3ofr4Contact Map
2y102y10S 2y119 2y18S 2y199Contact Map


Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
24_Y 65_N 1.50 0.84
31_K 43_E 1.37 0.76
33_K 52_Y 1.26 0.68
29_N 81_R 1.06 0.48
35_R 76_P 1.00 0.41
5_A 53_N 0.99 0.41
18_R 11_V 0.96 0.37
31_K 65_N 0.94 0.35
15_K 56_Q 0.94 0.34
27_C 44_M 0.94 0.34
9_R 53_N 0.93 0.34
20_H 44_M 0.91 0.31
31_K 83_H 0.88 0.29
21_G 67_V 0.86 0.27
21_G 75_A 0.86 0.27
22_R 37_R 0.86 0.27
21_G 9_V 0.81 0.22
10_I 75_A 0.80 0.21
31_K 41_V 0.77 0.19
8_K 58_V 0.75 0.17
24_Y 13_D 0.73 0.16
12_D 85_K 0.71 0.14
26_I 69_H 0.69 0.13
8_K 68_G 0.69 0.13
13_K 57_H 0.69 0.13
35_R 18_K 0.68 0.13
5_A 58_V 0.68 0.13
23_V 50_A 0.67 0.12
30_P 62_I 0.67 0.12
31_K 2_P 0.67 0.12
27_C 13_D 0.66 0.12
13_K 39_T 0.66 0.11
26_I 55_K 0.65 0.11
29_N 57_H 0.65 0.11
31_K 78_R 0.64 0.10
15_K 45_V 0.64 0.10
29_N 45_V 0.63 0.10
22_R 5_L 0.63 0.10
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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