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OPENSEQ.org
L32 - S09
UniProt: P80339 - P80374
Length: 188
Sequences: 849
Seq/Len: 4.64
I_Prob: 0.02
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 3v2d5 3v2eI 3v2f5Contact Map
2j002j00I 2j015 2j02I 2j035Contact Map
4juw4juwI 4jux5Contact Map
4kix4kix0 4kiyI 4kiz0 4kj0I 4kj10 4kj2I 4kj30 4kj4IContact Map
4kj54kj50 4kj6I 4kj70 4kj8I 4kj90 4kjaI 4kjb0 4kjcIContact Map
3uyd3uydL 3uye5 3uyfL 3uyg5Contact Map
4gd13r8s0 3r8t0 4gd1I 4gd2IContact Map
3ohc3ohcI 3ohdI 3ohj5 3ohk5Contact Map
3knh3knhI 3kni5 3knjI 3knk5Contact Map
3f1e3f1eI 3f1f5 3f1gI 3f1h5Contact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
42_P 114_Y 0.98 0.02
54_G 54_D 0.92 0.01
55_R 38_Q 0.88 0.01
20_R 65_V 0.84 0.01
48_E 23_N 0.82 0.01
15_R 106_A 0.81 0.01
44_T 74_I 0.78 0.01
56_K 6_G 0.74 0.01
32_P 93_R 0.74 0.01
13_K 64_T 0.74 0.01
16_R 65_V 0.73 0.01
23_H 118_K 0.73 0.01
31_V 93_R 0.72 0.01
51_Y 106_A 0.72 0.01
57_V 53_V 0.71 0.01
19_R 93_R 0.70 0.01
48_E 97_K 0.70 0.01
5_P 79_L 0.70 0.01
59_E 82_A 0.69 0.01
47_P 99_L 0.69 0.01
13_K 116_K 0.68 0.01
10_K 63_I 0.66 0.01
21_S 86_V 0.66 0.01
41_P 61_A 0.66 0.01
51_Y 118_K 0.66 0.01
8_K 121_R 0.66 0.01
8_K 98_P 0.65 0.01
20_R 118_K 0.65 0.01
12_S 95_K 0.64 0.01
60_V 89_N 0.63 0.01
51_Y 108_V 0.63 0.01
14_A 37_F 0.62 0.01
28_P 66_R 0.62 0.01
6_V 123_P 0.62 0.01
27_P 35_E 0.62 0.01
35_E 56_L 0.62 0.01
22_H 98_P 0.61 0.01
9_K 39_G 0.61 0.01
58_L 13_A 0.61 0.01
48_E 14_V 0.61 0.01
9_K 109_V 0.61 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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