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OPENSEQ.org

YCGM - YFCF
UniProt: P76004 - P77544
Length: 433
Sequences: 431
Seq/Len: 1.05
I_Prob: 0.07

YCGM - Uncharacterized protein YcgM
Paralog alert: 0.54 [within 20: 0.06] - ratio of genomes with paralogs
Cluster includes: YCGM
YFCF - Glutathione S-transferase YfcF
Paralog alert: 0.77 [within 20: 0.33] - ratio of genomes with paralogs
Cluster includes: GSTA GSTB SSPA YFCF YFCG YIBF YNCG
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
173_I 42_S 1.58 0.07
170_V 19_V 1.38 0.04
78_G 182_G 1.12 0.02
170_V 183_D 1.05 0.01
173_I 56_T 0.93 0.01
200_Q 95_D 0.92 0.01
92_A 100_A 0.92 0.01
169_I 157_Q 0.87 0.01
87_E 69_L 0.86 0.01
77_I 125_V 0.85 0.01
84_A 165_C 0.84 0.01
152_V 169_T 0.84 0.01
173_I 198_Q 0.84 0.01
132_G 17_P 0.83 0.01
131_S 9_W 0.83 0.01
56_Q 48_P 0.82 0.01
218_V 142_A 0.82 0.01
218_V 156_G 0.82 0.01
17_S 50_W 0.82 0.01
204_E 166_I 0.82 0.01
112_K 13_H 0.81 0.01
98_V 61_L 0.81 0.01
165_M 22_A 0.81 0.01
90_R 198_Q 0.81 0.01
59_A 149_A 0.81 0.01
84_A 149_A 0.80 0.01
205_L 133_P 0.80 0.01
205_L 70_S 0.80 0.01
148_L 153_L 0.79 0.01
89_V 199_R 0.79 0.01
142_D 188_R 0.79 0.01
205_L 152_L 0.78 0.01
88_H 32_S 0.78 0.01
84_A 156_G 0.78 0.01
170_V 61_L 0.77 0.01
106_D 50_W 0.77 0.01
209_F 103_R 0.77 0.01
96_Y 50_W 0.77 0.01
209_F 61_L 0.76 0.01
174_A 126_F 0.76 0.01
174_A 169_T 0.76 0.01
209_F 138_G 0.76 0.01
218_V 53_Y 0.75 0.01
165_M 205_F 0.75 0.01
152_V 100_A 0.75 0.01
207_V 103_R 0.74 0.01
34_G 162_G 0.74 0.01
50_A 152_L 0.74 0.01
91_K 63_Q 0.74 0.01
87_E 203_Q 0.74 0.01
56_Q 66_D 0.73 0.01
210_D 36_K 0.73 0.01
78_G 99_R 0.73 0.01
59_A 147_A 0.73 0.01
163_A 85_P 0.73 0.00
58_L 159_N 0.73 0.00
171_P 201_S 0.72 0.00
151_S 200_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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