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OPENSEQ.org

4HEA_6 - 4HEA_H
UniProt: Q56218 - Q60019 Query Sequences:

Download Alignment
We filter this alignment to remove positions that have > 75% gaps before running GREMLIN.
Length: 546
Sequences: 1486
Seq/Len: 3.13
I_Prob: 0.26
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.
4heaHQ:6GContact Map


Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
137_V 100_I 1.28 0.26
34_N 51_V 1.19 0.21
148_I 243_L 1.06 0.14
60_L 40_A 1.00 0.11
156_K 243_L 0.99 0.11
100_P 66_S 0.99 0.11
54_T 39_L 0.97 0.10
76_D 69_K 0.97 0.10
71_S 40_A 0.90 0.08
85_S 91_V 0.86 0.07
37_W 66_S 0.85 0.07
52_A 241_W 0.84 0.06
100_P 237_S 0.84 0.06
61_A 36_R 0.84 0.06
92_M 25_L 0.83 0.06
137_V 286_F 0.82 0.06
123_I 67_I 0.82 0.06
83_R 162_Y 0.82 0.06
31_G 64_I 0.82 0.06
137_V 122_I 0.82 0.06
151_V 238_S 0.81 0.06
44_A 228_L 0.80 0.06
84_L 228_L 0.80 0.06
63_F 50_R 0.80 0.06
93_R 215_A 0.80 0.06
141_P 42_F 0.79 0.05
79_I 175_L 0.79 0.05
113_S 134_Y 0.79 0.05
80_V 64_I 0.78 0.05
100_P 153_L 0.77 0.05
125_Q 134_Y 0.77 0.05
78_M 152_S 0.76 0.05
61_A 66_S 0.76 0.05
131_V 81_L 0.76 0.05
100_P 72_I 0.76 0.05
153_Q 168_L 0.75 0.04
28_V 68_F 0.75 0.04
148_I 293_I 0.74 0.04
137_V 147_Y 0.74 0.04
56_A 239_I 0.73 0.04
135_V 139_S 0.73 0.04
94_R 209_A 0.73 0.04
153_Q 202_A 0.73 0.04
136_Y 122_I 0.72 0.04
77_V 210_S 0.72 0.04
151_V 281_L 0.72 0.04
56_A 42_F 0.71 0.04
137_V 279_M 0.71 0.04
56_A 59_P 0.71 0.04
39_A 202_A 0.71 0.04
72_P 69_K 0.70 0.04
106_I 289_F 0.70 0.04
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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