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OPENSEQ.org
L34 - S09
UniProt: P80340 - P80374
Length: 177
Sequences: 859
Seq/Len: 5.08
I_Prob: 0.42
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 3v2d7 3v2eI 3v2f7Contact Map
2j002j00I 2j017 2j02I 2j037Contact Map
4juw4juwI 4jux7Contact Map
4kix4kix2 4kiyI 4kiz2 4kj0I 4kj12 4kj2I 4kj32 4kj4IContact Map
4kj54kj52 4kj6I 4kj72 4kj8I 4kj92 4kjaI 4kjb2 4kjcIContact Map
3uyd3uydL 3uye7 3uyfL 3uyg7Contact Map
4gd13r8s2 3r8t2 4gd1I 4gd2IContact Map
3ohc3ohcI 3ohdI 3ohj7 3ohk7Contact Map
3knh3knhI 3kni7 3knjI 3knk7Contact Map
3f1e3f1eI 3f1f7 3f1gI 3f1h7Contact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
11_K 13_A 1.27 0.42
11_K 63_I 1.05 0.25
10_R 64_T 0.93 0.17
30_V 106_A 0.84 0.12
26_G 93_R 0.82 0.11
9_R 82_A 0.78 0.09
5_W 37_F 0.76 0.09
19_R 92_Y 0.76 0.09
15_T 90_P 0.74 0.08
41_R 90_P 0.74 0.08
37_K 99_L 0.74 0.08
23_R 98_P 0.73 0.08
8_N 20_R 0.72 0.07
23_R 70_K 0.72 0.07
32_K 33_F 0.70 0.07
5_W 49_P 0.70 0.07
13_A 99_L 0.70 0.07
44_P 75_D 0.70 0.07
20_A 117_H 0.70 0.07
32_K 16_R 0.68 0.06
31_L 33_F 0.68 0.06
8_N 71_S 0.67 0.06
12_R 37_F 0.67 0.06
28_R 68_G 0.66 0.06
12_R 109_V 0.66 0.05
14_K 123_P 0.66 0.05
43_T 89_N 0.65 0.05
33_R 106_A 0.64 0.05
11_K 12_E 0.64 0.05
19_R 118_K 0.63 0.05
40_W 28_V 0.63 0.05
22_M 59_F 0.62 0.05
15_T 122_A 0.62 0.04
29_K 58_H 0.62 0.04
33_R 36_Y 0.61 0.04
10_R 79_L 0.61 0.04
31_L 51_R 0.61 0.04
5_W 103_T 0.61 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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