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OPENSEQ.org

L17 - S05
UniProt: Q9Z9H5 - Q5SHQ5
Length: 280
Sequences: 1162
Seq/Len: 4.22
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.
3v2c3v2cE 3v2dR 3v2eE 3v2fRContact Map
2j002j00E 2j01R 2j02E 2j03RContact Map
4juw4juwE 4juxRContact Map
4kix4kixN 4kiyE 4kizN 4kj0E 4kj1N 4kj2E 4kj3N 4kj4EContact Map
4kj54kj5N 4kj6E 4kj7N 4kj8E 4kj9N 4kjaE 4kjbN 4kjcEContact Map
3uyd3uydH 3uye0 3uyfH 3uyg0Contact Map
4gd13r8sN 3r8tN 4gd1E 4gd2EContact Map
3ohc3ohcE 3ohdE 3ohjR 3ohkRContact Map
3knh3knhE 3kniR 3knjE 3knkRContact Map
3ohy3ohyE 3ohzR 3oi0E 3oi1RContact Map


Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
49_D 154_G 1.00 0.02
108_G 120_T 0.83 0.01
6_S 122_E 0.83 0.01
40_K 5_D 0.81 0.01
71_Q 8_E 0.78 0.01
51_L 89_I 0.76 0.01
44_L 129_I 0.72 0.01
35_T 138_A 0.72 0.01
43_E 20_Q 0.70 0.01
97_V 59_G 0.70 0.01
44_L 75_T 0.70 0.01
10_L 64_R 0.70 0.01
8_R 27_R 0.69 0.01
74_K 118_I 0.69 0.01
63_R 48_A 0.69 0.01
48_V 58_A 0.69 0.01
50_H 56_Q 0.68 0.01
57_R 87_S 0.68 0.01
109_A 86_A 0.68 0.01
5_K 27_R 0.67 0.01
74_K 115_V 0.66 0.01
29_L 117_D 0.66 0.01
101_A 101_I 0.65 0.01
118_E 126_R 0.65 0.01
99_K 21_A 0.64 0.01
50_H 25_R 0.64 0.01
69_D 115_V 0.64 0.01
30_T 8_E 0.64 0.01
86_R 65_N 0.64 0.01
52_I 141_Q 0.63 0.01
110_P 37_R 0.63 0.01
57_R 120_T 0.62 0.01
50_H 90_V 0.62 0.01
35_T 151_L 0.62 0.01
40_K 9_K 0.62 0.01
82_E 136_M 0.62 0.01
61_H 53_L 0.61 0.01
87_Y 143_R 0.61 0.01
82_E 79_E 0.61 0.01
46_G 136_M 0.60 0.01
55_A 8_E 0.60 0.01
49_D 125_S 0.60 0.01
30_T 73_N 0.60 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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