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OPENSEQ.org
L36 - S17
UniProt: Q5SHR2 - Q5SHP7
Length: 142
Sequences: 722
Seq/Len: 6.12
I_Prob: 0.45
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.
3v2c3v2cQ 3v2d9 3v2eQ 3v2f9Contact Map
2j002j00Q 2j019 2j02Q 2j039Contact Map
4juw4juwQ 4jux9Contact Map
4kix4kix4 4kiyQ 4kiz4 4kj0Q 4kj14 4kj2Q 4kj34 4kj4QContact Map
4kj54kj54 4kj6Q 4kj74 4kj8Q 4kj94 4kjaQ 4kjb4 4kjcQContact Map
4gd13r8s4 3r8t4 4gd1Q 4gd2QContact Map
3knh3knhQ 3kni9 3knjQ 3knk9Contact Map
3v223v22Q 3v239 3v24Q 3v259Contact Map
3ofo3ofoQ 3ofpQ 3ofq4 3ofr4Contact Map
2y102y10Q 2y119 2y18Q 2y199Contact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
31_K 22_L 1.27 0.45
20_H 7_T 0.95 0.19
30_P 61_E 0.95 0.19
31_K 39_S 0.94 0.19
15_K 27_F 0.88 0.15
25_V 70_R 0.79 0.11
4_R 52_K 0.78 0.10
21_G 80_G 0.76 0.09
18_R 26_Q 0.76 0.09
22_R 4_K 0.74 0.09
30_P 79_S 0.70 0.07
9_R 41_K 0.69 0.07
5_A 67_K 0.67 0.06
13_K 71_F 0.66 0.06
29_N 18_T 0.66 0.06
31_K 62_S 0.65 0.06
31_K 37_K 0.65 0.06
15_K 81_R 0.65 0.06
9_R 31_L 0.64 0.06
35_R 68_R 0.64 0.05
3_V 21_V 0.63 0.05
9_R 68_R 0.63 0.05
8_K 67_K 0.62 0.05
9_R 9_V 0.60 0.04
15_K 59_I 0.60 0.04
23_V 47_P 0.59 0.04
4_R 71_F 0.59 0.04
23_V 10_V 0.59 0.04
5_A 28_P 0.58 0.04
8_K 12_S 0.58 0.04
26_I 12_S 0.56 0.04
2_K 73_V 0.55 0.04
17_I 19_V 0.55 0.04
12_D 4_K 0.55 0.03
22_R 28_P 0.55 0.03
16_V 36_I 0.54 0.03
2_K 62_S 0.54 0.03
35_R 7_T 0.52 0.03
35_R 54_G 0.52 0.03
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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