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OPENSEQ.org

4HEA_6 - 4HEA_A
UniProt: Q56218 - Q56217 Query Sequences:

Download Alignment
We filter this alignment to remove positions that have > 75% gaps before running GREMLIN.
Length: 300
Sequences: 915
Seq/Len: 3.38
I_Prob: 0.98
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.
4hea6G:APContact Map


Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
94_R 42_M 2.01 0.98
103_K 37_G 1.66 0.94
91_V 48_N 1.51 0.90
103_K 39_A 1.31 0.80
39_A 44_Y 1.24 0.74
97_E 37_G 1.05 0.55
95_V 107_F 1.05 0.54
118_F 114_G 1.05 0.54
107_S 104_F 1.04 0.54
103_K 35_K 1.02 0.51
56_A 62_Y 1.02 0.51
80_V 19_F 0.99 0.48
19_I 12_I 0.90 0.37
81_A 117_R 0.89 0.36
101_D 35_K 0.88 0.35
151_V 27_V 0.88 0.34
70_A 49_D 0.88 0.34
56_A 76_A 0.87 0.33
119_N 79_W 0.86 0.32
104_W 92_G 0.86 0.32
25_E 65_A 0.86 0.32
131_V 34_K 0.83 0.29
123_I 20_I 0.83 0.28
96_W 93_F 0.81 0.27
75_A 67_L 0.81 0.27
135_V 116_M 0.80 0.26
52_A 88_L 0.80 0.26
122_A 9_G 0.80 0.25
154_L 111_W 0.79 0.25
22_T 34_K 0.79 0.24
67_V 27_V 0.79 0.24
147_L 79_W 0.78 0.24
31_G 60_H 0.77 0.23
103_K 108_L 0.76 0.22
156_K 50_P 0.76 0.21
85_S 58_P 0.76 0.21
153_Q 20_I 0.76 0.21
54_T 117_R 0.75 0.21
95_V 54_V 0.75 0.21
77_V 106_G 0.75 0.21
50_M 61_F 0.74 0.20
28_V 43_P 0.74 0.20
97_E 110_E 0.74 0.20
152_M 49_D 0.73 0.19
91_V 66_M 0.73 0.19
129_S 25_L 0.73 0.19
136_Y 109_Y 0.72 0.18
97_E 95_G 0.72 0.18
44_A 21_G 0.72 0.18
54_T 24_A 0.72 0.18
86_K 115_V 0.72 0.18
30_W 36_P 0.72 0.18
63_F 32_G 0.71 0.18
90_P 54_V 0.71 0.17
27_L 87_G 0.71 0.17
79_I 22_V 0.70 0.17
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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