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OPENSEQ.org

L11 - S18
UniProt: Q5SLP6 - Q5SLQ0
Length: 235
Sequences: 914
Seq/Len: 4.42
I_Prob: 0.00
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.
2j002j00R 2j01K 2j02R 2j03KContact Map
4juw4juwR 4juxKContact Map
4kix4kixI 4kiyR 4kizI 4kj0R 4kj1I 4kj2R 4kj3I 4kj4RContact Map
4kj54kj5I 4kj6R 4kj7I 4kj8R 4kj9I 4kjaR 4kjbI 4kjcRContact Map
3f1e3f1eR 3f1fK 3f1gR 3f1hKContact Map
3i8f3i8gU 3i8hU 3i8iLContact Map
2x9r2x9rR 2x9sK 2x9tR 2x9uKContact Map
3i1m3i1mR 3i1nI 3i1oR 3i1pIContact Map
3sfs3sfsR 3sgfIContact Map
2qal2qalR 2qamI 2qanR 2qaoIContact Map


Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
20_A 51_L 0.80 0.00
71_T 64_R 0.80 0.00
8_V 55_R 0.79 0.00
52_I 53_R 0.78 0.00
97_G 70_I 0.77 0.00
40_A 51_L 0.76 0.00
86_K 43_F 0.75 0.00
44_A 67_A 0.74 0.00
68_V 43_F 0.73 0.00
93_R 65_I 0.71 0.00
20_A 23_K 0.70 0.00
66_T 83_E 0.67 0.00
112_M 20_A 0.67 0.00
16_K 52_P 0.66 0.00
47_N 66_L 0.64 0.00
87_G 18_R 0.64 0.00
64_S 19_K 0.63 0.00
126_M 84_K 0.62 0.00
81_A 49_K 0.61 0.00
69_T 59_S 0.60 0.00
120_L 73_A 0.59 0.00
44_A 75_I 0.58 0.00
63_R 53_R 0.57 0.00
49_G 72_R 0.57 0.00
104_V 27_G 0.57 0.00
136_V 18_R 0.57 0.00
113_P 83_E 0.56 0.00
43_A 39_V 0.56 0.00
69_T 81_F 0.55 0.00
91_P 65_I 0.55 0.00
126_M 82_T 0.55 0.00
23_V 20_A 0.53 0.00
61_A 43_F 0.53 0.00
112_M 84_K 0.53 0.00
137_E 65_I 0.53 0.00
96_V 36_N 0.53 0.00
79_R 82_T 0.52 0.00
83_G 17_S 0.52 0.00
43_A 43_F 0.52 0.00
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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