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OPENSEQ.org
L11 - L16
UniProt: Q5SLP6 - P60489
Length: 288
Sequences: 1029
Seq/Len: 3.71
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.
2j002j01KQ 2j03KQContact Map
4juw4juxKQContact Map
4kix4kixIM 4kizIM 4kj1IM 4kj3IMContact Map
4kj54kj5IM 4kj7IM 4kj9IM 4kjbIMContact Map
2zjr2zjrFJContact Map
4gd13r8sIM 3r8tIMContact Map
3f1e3f1fKQ 3f1hKQContact Map
3i8f3i8fP 3i8iLPContact Map
1nkw1nkwGKContact Map
3ofo3ofqIM 3ofrIMContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
126_M 104_F 0.91 0.00
20_A 14_R 0.81 0.00
85_E 59_R 0.74 0.00
91_P 106_V 0.73 0.00
32_A 90_V 0.72 0.00
53_V 128_K 0.71 0.00
36_E 35_V 0.71 0.00
38_V 80_E 0.70 0.00
63_R 58_F 0.69 0.00
52_I 41_W 0.66 0.00
78_I 137_Y 0.65 0.00
98_R 98_K 0.65 0.00
40_A 57_H 0.64 0.00
89_H 79_L 0.63 0.00
12_L 64_I 0.63 0.00
71_T 89_N 0.62 0.00
12_L 94_V 0.62 0.00
5_V 31_D 0.61 0.00
138_V 11_K 0.61 0.00
20_A 104_F 0.61 0.00
97_G 9_Y 0.61 0.00
84_L 39_P 0.61 0.00
133_S 7_M 0.60 0.00
98_R 127_I 0.60 0.00
83_G 106_V 0.59 0.00
46_A 74_Y 0.59 0.00
102_E 110_T 0.59 0.00
122_A 44_A 0.59 0.00
41_F 15_G 0.59 0.00
63_R 61_G 0.58 0.00
69_T 54_M 0.58 0.00
140_G 132_V 0.58 0.00
23_V 130_K 0.57 0.00
5_V 132_V 0.57 0.00
105_L 103_M 0.57 0.00
86_K 3_M 0.56 0.00
50_D 127_I 0.56 0.00
41_F 67_R 0.56 0.00
50_D 131_I 0.56 0.00
140_G 75_T 0.56 0.00
59_I 90_V 0.55 0.00
16_K 31_D 0.55 0.00
5_V 54_M 0.55 0.00
85_E 90_V 0.54 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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