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OPENSEQ.org
1TYG_B - 1TYG_A
PDB: 1TYG Query Sequences:

 Download Alignment
We filter this alignment to remove positions that have > 75% gaps before running GREMLIN.
Length: 307
Sequences: 746
Seq/Len: 2.45
I_Prob: 0.98
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
35_E 81_R 2.11 0.98
62_F 90_G 1.82 0.95
40_I 85_L 1.53 0.87
33_I 88_A 1.23 0.66
58_E 43_R 1.05 0.46
31_I 89_S 1.03 0.43
18_I 36_D 1.02 0.42
58_E 78_E 1.02 0.42
22_L 201_G 1.01 0.41
39_E 84_R 0.92 0.31
32_V 180_I 0.91 0.30
35_E 90_G 0.90 0.28
64_G 92_C 0.89 0.28
60_V 42_V 0.88 0.27
35_E 84_R 0.87 0.26
3_Q 143_E 0.87 0.26
63_V 41_A 0.87 0.26
62_F 92_C 0.85 0.24
40_I 81_R 0.84 0.23
4_L 160_Q 0.84 0.23
42_G 88_A 0.84 0.23
7_K 8_S 0.83 0.22
6_G 211_A 0.83 0.22
58_E 138_A 0.83 0.22
38_K 77_E 0.81 0.20
42_G 34_E 0.79 0.19
62_F 56_L 0.77 0.17
60_V 138_A 0.76 0.16
64_G 169_S 0.75 0.15
51_L 220_A 0.74 0.15
22_L 170_F 0.74 0.14
63_V 206_T 0.72 0.14
21_L 86_A 0.72 0.13
6_G 229_R 0.71 0.13
7_K 9_F 0.71 0.13
64_G 19_K 0.71 0.13
54_R 75_T 0.71 0.13
17_T 17_T 0.71 0.13
21_L 32_V 0.71 0.13
59_I 66_L 0.70 0.12
57_I 200_D 0.70 0.12
64_G 90_G 0.69 0.12
14_D 200_D 0.69 0.12
39_E 95_I 0.69 0.12
62_F 42_V 0.69 0.11
61_H 83_A 0.68 0.11
35_E 92_C 0.68 0.11
39_E 158_S 0.68 0.11
45_R 4_I 0.68 0.11
34_V 80_V 0.67 0.10
63_V 158_S 0.67 0.10
31_I 99_V 0.66 0.10
62_F 94_M 0.66 0.10
17_T 28_E 0.66 0.10
4_L 52_Q 0.66 0.10
56_V 158_S 0.66 0.10
64_G 173_E 0.66 0.10
51_L 22_S 0.66 0.10
43_K 22_S 0.65 0.10
46_Y 45_M 0.65 0.10
4_L 216_K 0.65 0.09
42_G 67_L 0.65 0.09
8_D 179_V 0.65 0.09
4_L 153_A 0.65 0.09
41_I 88_A 0.65 0.09
62_F 135_V 0.65 0.09
36_R 83_A 0.64 0.09
57_I 41_A 0.64 0.09
11_W 206_T 0.64 0.09
34_V 50_A 0.64 0.09
46_Y 102_C 0.63 0.08
13_K 137_L 0.63 0.08
17_T 77_E 0.63 0.08
7_K 63_K 0.63 0.08
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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