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OPENSEQ.org

APAG - PPIC
UniProt: P62672 - P0A9L5
Length: 218
Sequences: 166
Seq/Len: 0.79
I_Prob: 0.97

APAG - Protein ApaG
Paralog alert: 0.04 [within 20: 0.01] - ratio of genomes with paralogs
Cluster includes: APAG
PPIC - Peptidyl-prolyl cis-trans isomerase C
Paralog alert: 0.67 [within 20: 0.18] - ratio of genomes with paralogs
Cluster includes: PPIC
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
68_V 73_E 2.57 0.97
33_V 38_H 1.49 0.46
74_I 44_G 1.42 0.40
88_I 27_N 1.40 0.38
71_Q 51_G 1.27 0.26
43_V 78_L 1.24 0.24
68_V 36_K 1.24 0.23
76_P 15_E 1.18 0.19
34_T 4_T 1.14 0.17
81_Q 78_L 1.12 0.16
9_I 4_T 1.12 0.16
33_V 16_K 1.12 0.15
75_A 16_K 1.08 0.13
77_G 55_Q 1.07 0.13
77_G 17_L 1.05 0.12
26_R 51_G 1.04 0.11
57_G 4_T 0.99 0.09
60_T 69_C 0.97 0.08
89_E 23_E 0.96 0.08
55_G 86_I 0.96 0.08
27_Y 26_K 0.94 0.07
10_Q 56_G 0.93 0.07
74_I 80_T 0.92 0.07
83_T 70_P 0.92 0.07
54_N 50_L 0.92 0.07
109_F 52_E 0.89 0.06
7_V 89_V 0.88 0.06
124_I 33_K 0.87 0.05
56_N 18_A 0.87 0.05
53_T 87_I 0.86 0.05
106_G 10_I 0.85 0.05
49_Y 66_V 0.85 0.05
111_I 20_D 0.85 0.05
15_Y 78_L 0.85 0.05
34_T 21_L 0.85 0.05
16_I 21_L 0.84 0.05
17_E 70_P 0.84 0.04
68_V 88_K 0.84 0.04
7_V 79_H 0.83 0.04
35_I 32_G 0.83 0.04
96_Q 36_K 0.83 0.04
65_E 37_K 0.82 0.04
33_V 18_A 0.82 0.04
56_N 12_V 0.81 0.04
43_V 91_Y 0.81 0.04
124_I 23_E 0.80 0.04
76_P 26_K 0.80 0.04
65_E 24_Q 0.80 0.04
77_G 26_K 0.79 0.04
106_G 44_G 0.79 0.04
42_P 73_E 0.79 0.04
125_H 6_A 0.79 0.04
87_I 93_N 0.78 0.03
13_S 92_R 0.78 0.03
117_R 4_T 0.78 0.03
70_V 9_H 0.78 0.03
22_P 25_I 0.78 0.03
15_Y 85_H 0.78 0.03
58_R 64_K 0.77 0.03
26_R 6_A 0.77 0.03
76_P 84_Y 0.77 0.03
109_F 30_D 0.77 0.03
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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