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OPENSEQ.org
L09 - S18
UniProt: Q5SLQ1 - Q5SLQ0
Length: 236
Sequences: 1390
Seq/Len: 6.46
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.
3v2c3v2cR 3v2dI 3v2eR 3v2fIContact Map
2j002j00R 2j01I 2j02R 2j03IContact Map
4kix4kixH 4kiyR 4kizH 4kj0R 4kj1H 4kj2R 4kj3H 4kj4RContact Map
4kj54kj5H 4kj6R 4kj7H 4kj8R 4kj9H 4kjaR 4kjbH 4kjcRContact Map
3uyd3uydU 3uyeK 3uyfU 3uygKContact Map
3ohc3ohcR 3ohdR 3ohjI 3ohkIContact Map
3knh3knhR 3kniI 3knjR 3knkIContact Map
3f1e3f1eR 3f1fI 3f1gR 3f1hIContact Map
3ohy3ohyR 3ohzI 3oi0R 3oi1IContact Map
3v223v22R 3v23I 3v24R 3v25IContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
4_I 64_R 0.84 0.00
27_R 64_R 0.81 0.00
93_T 77_G 0.81 0.00
132_P 56_T 0.78 0.00
83_A 45_S 0.77 0.00
91_S 76_L 0.76 0.00
12_L 55_R 0.71 0.00
51_I 44_L 0.69 0.00
91_S 24_A 0.69 0.00
72_L 43_F 0.69 0.00
98_A 77_G 0.68 0.00
112_K 46_E 0.68 0.00
19_V 58_L 0.68 0.00
101_L 38_E 0.66 0.00
98_A 46_E 0.66 0.00
40_T 41_K 0.65 0.00
81_V 45_S 0.64 0.00
132_P 77_G 0.63 0.00
73_E 67_A 0.63 0.00
133_H 51_L 0.61 0.00
102_S 70_I 0.60 0.00
16_G 45_S 0.60 0.00
92_V 51_L 0.60 0.00
140_L 26_L 0.60 0.00
86_T 80_P 0.59 0.00
122_E 38_E 0.59 0.00
9_L 17_S 0.59 0.00
7_E 52_P 0.59 0.00
142_V 84_K 0.59 0.00
40_T 18_R 0.59 0.00
111_P 55_R 0.57 0.00
76_T 70_I 0.57 0.00
104_Q 70_I 0.56 0.00
26_A 42_R 0.56 0.00
137_P 18_R 0.56 0.00
129_T 70_I 0.56 0.00
127_V 77_G 0.56 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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