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OPENSEQ.org
1RM6_A - 1RM6_C
PDB: 1RM6 Query Sequences:

 Download Alignment
We filter this alignment to remove positions that have > 75% gaps before running GREMLIN.
Length: 930
Sequences: 1534
Seq/Len: 1.71
I_Prob: 0.99
GREMLIN Results (Scaled_score > 1):

Legend: The darker and larger the blue dots, the higher strength in coevolution.

Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
696_V 134_L 2.44 0.99
24_V 108_I 1.61 0.85
24_V 93_H 1.61 0.85
699_I 130_L 1.46 0.76
20_G 93_H 1.32 0.64
661_G 138_T 1.11 0.41
270_R 30_E 1.08 0.38
664_Q 142_R 1.08 0.38
25_T 87_K 1.07 0.37
16_P 94_E 1.05 0.34
35_A 33_G 1.04 0.34
699_I 144_S 1.02 0.31
275_R 40_G 1.00 0.30
24_V 85_L 1.00 0.29
25_T 80_A 0.99 0.28
21_V 85_L 0.95 0.25
661_G 139_G 0.93 0.22
304_A 52_L 0.89 0.20
33_D 102_F 0.89 0.19
118_K 21_N 0.88 0.18
660_E 142_R 0.87 0.18
580_E 72_K 0.86 0.17
128_E 9_L 0.85 0.16
700_V 128_A 0.83 0.15
65_L 97_G 0.81 0.14
24_V 89_Q 0.81 0.13
692_L 43_G 0.81 0.13
93_L 130_L 0.78 0.12
171_A 120_S 0.77 0.11
700_V 131_A 0.75 0.10
25_T 108_I 0.74 0.10
380_L 124_D 0.74 0.10
28_A 38_K 0.73 0.09
657_L 96_L 0.72 0.09
230_D 60_A 0.71 0.09
112_D 76_V 0.70 0.08
691_I 18_V 0.69 0.08
120_L 130_L 0.69 0.07
24_V 98_T 0.69 0.07
69_I 12_R 0.69 0.07
21_V 93_H 0.69 0.07
58_D 147_V 0.69 0.07
297_K 73_V 0.68 0.07
379_E 147_V 0.68 0.07
25_T 89_Q 0.68 0.07
66_E 34_L 0.66 0.06
191_M 134_L 0.65 0.06
29_K 35_T 0.64 0.06
542_G 15_E 0.64 0.06
671_M 73_V 0.64 0.06
511_S 12_R 0.63 0.05
262_A 105_P 0.63 0.05
351_T 102_F 0.63 0.05
702_S 141_V 0.63 0.05
206_M 8_T 0.62 0.05
56_A 15_E 0.62 0.05
420_A 72_K 0.61 0.05
211_T 97_G 0.61 0.05
246_G 99_Q 0.61 0.05
540_L 27_Y 0.61 0.05
276_E 43_G 0.61 0.05
262_A 134_L 0.61 0.05
668_W 138_T 0.60 0.05
114_V 26_D 0.60 0.04
64_A 84_T 0.60 0.04
58_D 54_D 0.60 0.04
233_R 120_S 0.60 0.04
198_A 28_L 0.60 0.04
100_Y 146_S 0.59 0.04
672_G 132_G 0.59 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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