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FRLB - RMLA1
UniProt: P0AC00 - P37744
Length: 633
Sequences: 526
Seq/Len: 0.95
I_Prob: 0.00

FRLB - Fructoselysine 6-phosphate deglycase
Paralog alert: 0.40 [within 20: 0.05] - ratio of genomes with paralogs
Cluster includes: AGAS FRLB
RMLA1 - Glucose-1-phosphate thymidylyltransferase 1
Paralog alert: 0.90 [within 20: 0.20] - ratio of genomes with paralogs
Cluster includes: GALF GALU RMLA1 RMLA2
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
247_F 39_Y 1.24 0.00
255_V 105_C 1.08 0.00
47_I 123_M 1.07 0.00
304_L 100_I 0.99 0.00
44_I 94_I 0.96 0.00
187_L 99_F 0.95 0.00
244_S 114_F 0.93 0.00
130_D 61_T 0.93 0.00
109_I 96_G 0.92 0.00
205_A 174_T 0.92 0.00
82_F 181_N 0.91 0.00
244_S 40_P 0.90 0.00
311_V 61_T 0.89 0.00
305_A 15_T 0.89 0.00
94_C 58_P 0.89 0.00
50_V 159_S 0.86 0.00
49_F 166_E 0.86 0.00
262_L 107_L 0.86 0.00
188_G 78_L 0.86 0.00
78_S 64_F 0.85 0.00
203_E 87_D 0.85 0.00
59_A 62_P 0.85 0.00
47_I 182_D 0.85 0.00
165_T 229_T 0.85 0.00
154_L 250_K 0.84 0.00
201_L 37_I 0.84 0.00
176_I 203_I 0.83 0.00
183_L 107_L 0.83 0.00
291_I 23_A 0.83 0.00
200_Q 152_D 0.83 0.00
59_A 141_N 0.83 0.00
330_E 224_W 0.82 0.00
164_I 94_I 0.82 0.00
279_N 49_I 0.82 0.00
278_I 37_I 0.82 0.00
272_H 255_E 0.81 0.00
70_S 135_V 0.81 0.00
243_E 157_A 0.81 0.00
161_L 159_S 0.81 0.00
247_F 40_P 0.81 0.00
283_Q 190_L 0.81 0.00
268_D 97_E 0.80 0.00
282_K 78_L 0.80 0.00
62_A 161_E 0.80 0.00
124_A 116_G 0.79 0.00
168_A 185_Q 0.79 0.00
125_F 124_E 0.79 0.00
126_T 133_A 0.79 0.00
66_A 243_I 0.79 0.00
195_E 172_A 0.78 0.00
311_V 189_N 0.78 0.00
78_S 178_F 0.78 0.00
317_C 236_A 0.78 0.00
57_N 68_L 0.78 0.00
94_C 204_N 0.78 0.00
207_Q 48_G 0.78 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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