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OPENSEQ.org
L20 - L23
UniProt: P60491 - Q5SHP0
Length: 214
Sequences: 1296
Seq/Len: 6.20
I_Prob: 0.01
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.
3v2c3v2dUX 3v2fUXContact Map
2j002j01UX 2j03UXContact Map
4juw4juxUXContact Map
4kix4kixQT 4kizQT 4kj1QT 4kj3QTContact Map
4kj54kj5QT 4kj7QT 4kj9QT 4kjbQTContact Map
2zjr2zjrNQContact Map
4btc4btdUXContact Map
3uyd3uye1T 3uyg1TContact Map
4gd13r8sQT 3r8tQTContact Map
3knh3kniUX 3knkUXContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
41_A 59_V 0.95 0.01
46_A 83_V 0.89 0.01
30_K 82_Q 0.86 0.01
13_K 9_L 0.86 0.01
17_I 87_Q 0.84 0.01
40_F 14_S 0.82 0.01
53_R 16_K 0.81 0.01
32_F 35_T 0.81 0.01
90_V 94_G 0.75 0.01
36_R 9_L 0.74 0.01
12_R 26_Y 0.73 0.01
53_R 92_L 0.70 0.01
6_T 14_S 0.70 0.01
29_S 77_K 0.70 0.01
6_T 73_R 0.69 0.01
21_A 61_G 0.69 0.01
84_K 56_T 0.69 0.01
93_K 24_G 0.68 0.01
88_I 45_T 0.67 0.01
84_K 27_T 0.67 0.01
14_H 92_L 0.67 0.01
23_G 77_K 0.64 0.01
91_D 25_K 0.64 0.01
86_A 81_V 0.62 0.01
110_V 81_V 0.61 0.01
69_C 85_P 0.61 0.01
23_G 28_F 0.61 0.01
29_S 55_N 0.60 0.01
42_A 70_L 0.60 0.01
43_G 77_K 0.60 0.01
84_K 65_R 0.60 0.01
93_K 71_G 0.59 0.01
63_V 90_E 0.59 0.01
80_I 73_R 0.59 0.01
2_P 74_P 0.58 0.01
104_Q 41_N 0.58 0.01
10_R 14_S 0.58 0.01
91_D 54_V 0.57 0.01
59_R 31_H 0.57 0.01
4_A 15_E 0.57 0.01
109_L 47_F 0.57 0.00
31_S 46_A 0.57 0.00
40_F 67_G 0.56 0.00
81_H 55_N 0.56 0.00
11_R 41_N 0.56 0.00
19_K 45_T 0.56 0.00
12_R 4_A 0.56 0.00
87_G 60_R 0.56 0.00
98_L 67_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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