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OPENSEQ.org
4HEA_4 - 4HEA_N
UniProt: Q56220 - Q56229 Query Sequences:

 Download Alignment
We filter this alignment to remove positions that have > 75% gaps before running GREMLIN.
Length: 836
Sequences: 1535
Seq/Len: 1.89
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.
4hea4E:NV:MU:LTContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
390_V 220_F 1.01 0.00
52_V 247_A 0.98 0.00
220_G 233_L 0.91 0.00
190_L 318_K 0.90 0.00
195_E 158_T 0.89 0.00
52_V 363_L 0.86 0.00
96_A 88_V 0.86 0.00
52_V 224_L 0.85 0.00
357_I 325_A 0.84 0.00
119_I 293_G 0.84 0.00
397_I 105_L 0.83 0.00
302_V 243_V 0.83 0.00
96_A 269_M 0.82 0.00
190_L 104_L 0.80 0.00
137_L 237_V 0.80 0.00
28_L 59_S 0.80 0.00
28_L 313_R 0.78 0.00
372_A 141_A 0.77 0.00
55_V 226_V 0.77 0.00
380_S 333_L 0.76 0.00
44_M 59_S 0.76 0.00
28_L 354_R 0.76 0.00
225_P 279_Q 0.76 0.00
201_I 73_T 0.75 0.00
52_V 243_V 0.75 0.00
108_V 220_F 0.74 0.00
56_V 348_A 0.74 0.00
106_G 362_V 0.74 0.00
357_I 357_A 0.74 0.00
107_A 246_L 0.74 0.00
182_L 124_W 0.74 0.00
52_V 90_Y 0.73 0.00
44_M 134_L 0.73 0.00
164_T 354_R 0.73 0.00
225_P 175_A 0.72 0.00
225_P 154_F 0.71 0.00
100_A 177_G 0.71 0.00
395_A 74_V 0.71 0.00
220_G 201_Q 0.71 0.00
391_P 224_L 0.71 0.00
290_I 72_W 0.71 0.00
135_T 241_V 0.71 0.00
98_A 153_L 0.71 0.00
400_L 246_L 0.70 0.00
180_E 149_Y 0.70 0.00
226_P 290_L 0.70 0.00
235_T 233_L 0.70 0.00
339_K 408_L 0.70 0.00
65_G 83_E 0.70 0.00
386_K 207_V 0.70 0.00
283_M 143_A 0.69 0.00
201_I 325_A 0.69 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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