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PTFB1 - PTSO
UniProt: P69808 - P0A9N0
Length: 198
Sequences: 272
Seq/Len: 1.42
I_Prob: 0.00

PTFB1 - Fructose-like phosphotransferase enzyme IIB component 1
Paralog alert: 0.61 [within 20: 0.18] - ratio of genomes with paralogs
Cluster includes: PTFB1 PTFB2 PTFB3
PTSO - Phosphocarrier protein NPr
Paralog alert: 0.51 [within 20: 0.01] - ratio of genomes with paralogs
Cluster includes: PTHP PTSO
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
57_E 46_A 1.13 0.00
89_I 45_E 1.09 0.00
37_K 29_G 1.06 0.00
70_E 26_L 1.04 0.00
57_E 65_V 1.03 0.00
80_V 9_I 1.03 0.00
101_E 52_L 1.02 0.00
21_A 76_L 0.99 0.00
10_A 23_L 0.98 0.00
8_L 65_V 0.97 0.00
52_A 42_T 0.95 0.00
57_E 12_K 0.94 0.00
74_R 27_M 0.94 0.00
49_R 9_I 0.92 0.00
8_L 32_A 0.91 0.00
78_R 70_P 0.90 0.00
34_Y 59_K 0.90 0.00
65_V 79_V 0.90 0.00
92_A 54_M 0.90 0.00
53_Q 81_A 0.89 0.00
15_L 51_A 0.89 0.00
81_Y 89_E 0.87 0.00
88_A 83_F 0.87 0.00
25_L 59_K 0.87 0.00
24_A 46_A 0.86 0.00
96_I 70_P 0.86 0.00
5_L 27_M 0.86 0.00
27_E 75_A 0.85 0.00
19_F 50_I 0.85 0.00
3_K 9_I 0.84 0.00
54_D 85_S 0.84 0.00
24_A 63_I 0.84 0.00
8_L 47_N 0.83 0.00
98_E 57_S 0.82 0.00
8_L 12_K 0.81 0.00
36_V 35_L 0.81 0.00
72_N 81_A 0.81 0.00
49_R 82_L 0.81 0.00
6_I 27_M 0.81 0.00
36_V 71_Q 0.80 0.00
29_A 33_E 0.80 0.00
82_E 68_T 0.80 0.00
23_Q 88_D 0.80 0.00
85_L 66_E 0.79 0.00
63_H 35_L 0.79 0.00
29_A 8_E 0.79 0.00
86_Q 86_G 0.78 0.00
88_A 56_D 0.78 0.00
57_E 40_E 0.78 0.00
85_L 11_N 0.78 0.00
15_L 45_E 0.77 0.00
6_I 76_L 0.77 0.00
55_I 53_L 0.77 0.00
97_K 30_F 0.77 0.00
46_I 61_R 0.76 0.00
10_A 53_L 0.76 0.00
86_Q 26_L 0.76 0.00
53_Q 22_K 0.76 0.00
26_E 21_M 0.76 0.00
76_E 73_E 0.75 0.00
20_M 55_L 0.74 0.00
26_E 49_V 0.74 0.00
86_Q 15_M 0.73 0.00
86_Q 23_L 0.72 0.00
97_K 77_A 0.72 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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