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OPENSEQ.org
S09 - S13
UniProt: P80374 - P80377
Length: 254
Sequences: 1416
Seq/Len: 5.69
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.
2vqe2vqeIMContact Map
3v2c3v2cIM 3v2eIMContact Map
2uub2uubIMContact Map
2j002j00IM 2j02IMContact Map
3t1y3t1yIMContact Map
4juw4juwIMContact Map
2uua2uuaIMContact Map
4b3m4b3mIMContact Map
2uxc2uxcIMContact Map
4kix4kiyIM 4kj0IM 4kj2IM 4kj4IMContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
18_F 84_I 0.95 0.01
121_R 74_V 0.93 0.01
12_E 62_N 0.89 0.01
79_L 5_A 0.84 0.01
116_K 72_A 0.80 0.01
27_T 82_M 0.79 0.01
42_R 14_R 0.78 0.01
35_E 49_T 0.76 0.01
70_K 104_R 0.75 0.01
63_I 118_A 0.75 0.01
88_Y 114_R 0.75 0.01
90_P 94_R 0.74 0.01
54_D 55_R 0.74 0.01
35_E 32_E 0.73 0.01
123_P 119_G 0.73 0.01
28_V 62_N 0.73 0.01
109_V 83_D 0.72 0.01
122_A 80_R 0.72 0.01
123_P 45_V 0.71 0.01
102_L 84_I 0.71 0.01
3_Q 50_E 0.70 0.01
70_K 102_R 0.70 0.01
79_L 29_R 0.70 0.01
41_V 62_N 0.70 0.01
114_Y 104_R 0.69 0.01
53_V 99_R 0.68 0.01
52_A 33_A 0.68 0.01
37_F 113_P 0.67 0.01
20_R 18_A 0.67 0.01
42_R 119_G 0.66 0.01
6_G 84_I 0.65 0.01
32_D 49_T 0.65 0.01
30_G 31_K 0.65 0.01
118_K 119_G 0.65 0.01
33_F 62_N 0.65 0.01
79_L 9_I 0.64 0.01
98_P 60_V 0.62 0.01
75_D 48_L 0.62 0.01
118_K 117_V 0.62 0.01
5_Y 84_I 0.61 0.01
57_G 77_N 0.61 0.01
7_T 105_T 0.61 0.01
37_F 82_M 0.61 0.01
71_S 18_A 0.60 0.01
88_Y 117_V 0.60 0.01
42_R 104_R 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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