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OPENSEQ.org
L36 - S05
UniProt: Q5SHR2 - Q5SHQ5
Length: 199
Sequences: 695
Seq/Len: 3.58
I_Prob: 0.06
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.
3v2c3v2cE 3v2d9 3v2eE 3v2f9Contact Map
2j002j00E 2j019 2j02E 2j039Contact Map
4juw4juwE 4jux9Contact Map
4kix4kix4 4kiyE 4kiz4 4kj0E 4kj14 4kj2E 4kj34 4kj4EContact Map
4kj54kj54 4kj6E 4kj74 4kj8E 4kj94 4kjaE 4kjb4 4kjcEContact Map
4gd13r8s4 3r8t4 4gd1E 4gd2EContact Map
3knh3knhE 3kni9 3knjE 3knk9Contact Map
3v223v22E 3v239 3v24E 3v259Contact Map
3ofo3ofoE 3ofpE 3ofq4 3ofr4Contact Map
2y102y10E 2y119 2y18E 2y199Contact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
5_A 72_Q 1.11 0.06
5_A 87_S 1.01 0.04
31_K 66_M 0.97 0.04
8_K 38_Q 0.96 0.04
24_Y 133_Y 0.94 0.04
37_G 85_G 0.94 0.03
20_H 4_T 0.90 0.03
31_K 5_D 0.89 0.03
31_K 7_E 0.88 0.03
18_R 143_R 0.87 0.03
31_K 67_V 0.87 0.03
20_H 125_S 0.86 0.03
31_K 159_Q 0.82 0.02
37_G 86_A 0.80 0.02
9_R 7_E 0.79 0.02
16_V 137_E 0.77 0.02
3_V 41_V 0.76 0.02
4_R 5_D 0.74 0.02
9_R 3_E 0.74 0.02
16_V 122_E 0.73 0.02
5_A 8_E 0.72 0.02
21_G 41_V 0.71 0.02
22_R 63_R 0.70 0.01
29_N 156_A 0.70 0.01
20_H 37_R 0.70 0.01
9_R 159_Q 0.70 0.01
24_Y 87_S 0.69 0.01
10_I 19_M 0.69 0.01
25_V 33_V 0.68 0.01
31_K 143_R 0.68 0.01
10_I 30_A 0.68 0.01
35_R 110_L 0.68 0.01
35_R 129_I 0.67 0.01
5_A 106_P 0.66 0.01
22_R 138_A 0.66 0.01
20_H 19_M 0.66 0.01
31_K 86_A 0.65 0.01
29_N 11_I 0.65 0.01
23_V 63_R 0.65 0.01
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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