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OPENSEQ.org

4HEA_6 - 4HEA_9
UniProt: Q56218 - Q56224 Query Sequences:

Download Alignment
We filter this alignment to remove positions that have > 75% gaps before running GREMLIN.
Length: 363
Sequences: 1321
Seq/Len: 4.40
I_Prob: 0.59
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.
3i9v6F:9G:3CContact Map
3ias6FOX:9YGP:3UCLContact Map
2fug6FOX:9YPG:3CLUContact Map
3m9s6F:9G:3CContact Map
4hea6G:9O:3DContact Map
3iam6F:9G:3CContact Map
2ybb6:8:3Contact Map


Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
85_S 112_A 1.35 0.59
149_Y 120_E 1.35 0.59
56_A 22_V 1.34 0.58
63_F 28_D 1.08 0.33
111_C 59_C 1.07 0.33
140_C 59_C 1.05 0.31
117_M 65_A 1.00 0.27
117_M 99_I 1.00 0.27
110_A 100_F 0.99 0.26
135_V 124_Y 0.95 0.23
111_C 108_C 0.95 0.22
117_M 58_L 0.94 0.22
111_C 53_C 0.91 0.20
140_C 108_C 0.90 0.19
111_C 56_C 0.90 0.19
114_S 65_A 0.89 0.19
140_C 53_C 0.88 0.17
125_Q 107_A 0.86 0.17
137_V 54_I 0.83 0.15
140_C 56_C 0.83 0.14
57_R 24_V 0.82 0.14
126_N 26_Y 0.80 0.13
124_V 71_E 0.80 0.13
150_A 55_G 0.79 0.12
50_M 43_L 0.79 0.12
58_N 31_V 0.77 0.11
119_N 97_R 0.77 0.11
58_N 24_V 0.75 0.10
155_Q 60_A 0.74 0.10
73_R 55_G 0.74 0.10
113_S 96_L 0.73 0.10
149_Y 119_F 0.73 0.10
110_A 60_A 0.73 0.10
120_N 100_F 0.73 0.09
106_I 72_P 0.72 0.09
112_A 126_Y 0.71 0.09
142_P 93_I 0.70 0.08
45_C 56_C 0.69 0.08
154_L 66_Y 0.68 0.07
93_R 114_V 0.67 0.07
112_A 106_E 0.67 0.07
118_F 97_R 0.67 0.07
63_F 116_G 0.66 0.07
84_L 113_I 0.66 0.07
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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