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OPENSEQ.org
L20 - S15
UniProt: P60491 - Q5SJ76
Length: 207
Sequences: 1233
Seq/Len: 5.99
I_Prob: 0.04
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.
3v2c3v2cO 3v2dU 3v2eO 3v2fUContact Map
2j002j00O 2j01U 2j02O 2j03UContact Map
4juw4juwO 4juxUContact Map
4kix4kixQ 4kiyO 4kizQ 4kj0O 4kj1Q 4kj2O 4kj3Q 4kj4OContact Map
4kj54kj5Q 4kj6O 4kj7Q 4kj8O 4kj9Q 4kjaO 4kjbQ 4kjcOContact Map
3uyd3uydR 3uye1 3uyfR 3uyg1Contact Map
4gd13r8sQ 3r8tQ 4gd1O 4gd2OContact Map
3knh3knhO 3kniU 3knjO 3knkUContact Map
3ohc3ohcO 3ohdO 3ohjU 3ohkUContact Map
3f1e3f1eO 3f1fU 3f1gO 3f1hUContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
30_K 35_R 1.03 0.04
96_A 61_G 0.91 0.03
33_R 62_Q 0.89 0.03
43_G 61_G 0.76 0.02
80_I 17_R 0.75 0.02
13_K 58_M 0.74 0.02
22_K 51_H 0.70 0.01
101_R 38_R 0.70 0.01
108_E 16_A 0.69 0.01
93_K 48_K 0.69 0.01
28_R 11_V 0.69 0.01
43_G 57_L 0.68 0.01
53_R 48_K 0.67 0.01
116_A 46_H 0.67 0.01
39_L 27_V 0.66 0.01
48_A 1_M 0.66 0.01
41_A 17_R 0.66 0.01
69_C 8_K 0.65 0.01
84_K 46_H 0.65 0.01
27_L 48_K 0.64 0.01
112_R 76_E 0.64 0.01
96_A 48_K 0.63 0.01
100_V 54_R 0.63 0.01
109_L 15_F 0.62 0.01
42_A 48_K 0.61 0.01
108_E 83_E 0.61 0.01
42_A 58_M 0.61 0.01
110_V 83_E 0.60 0.01
98_L 8_K 0.59 0.01
91_D 61_G 0.59 0.01
93_K 57_L 0.59 0.01
96_A 12_I 0.58 0.01
59_R 33_T 0.58 0.01
56_D 4_T 0.57 0.01
103_P 81_L 0.56 0.01
115_A 29_V 0.56 0.01
40_F 68_R 0.56 0.01
90_V 89_G 0.56 0.01
7_G 34_L 0.56 0.01
52_R 71_Q 0.56 0.01
63_V 13_Q 0.55 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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