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OPENSEQ.org

GLUQ - TRML
UniProt: P27305 - P0AGJ7
Length: 465
Sequences: 271
Seq/Len: 0.63
I_Prob: 0.00

GLUQ - Glutamyl-Q tRNA(Asp) synthetase
Paralog alert: 0.57 [within 20: 0.03] - ratio of genomes with paralogs
Cluster includes: GLUQ SYE
TRML - tRNA (cytidine(34)-2'-O)-methyltransferase
Paralog alert: 0.90 [within 20: 0.05] - ratio of genomes with paralogs
Cluster includes: RLMB TRML
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
188_V 4_I 1.28 0.00
196_T 54_F 1.11 0.00
84_D 141_V 1.10 0.00
42_Q 139_V 1.06 0.00
121_I 141_V 1.02 0.00
199_V 63_Y 1.01 0.00
100_A 4_I 0.99 0.00
151_Q 4_I 0.98 0.00
286_K 120_I 0.96 0.00
163_D 98_M 0.94 0.00
294_P 31_I 0.94 0.00
47_Q 106_L 0.93 0.00
141_V 118_Q 0.93 0.00
94_A 47_A 0.91 0.00
79_L 96_Y 0.90 0.00
236_G 76_F 0.88 0.00
93_D 79_T 0.87 0.00
244_H 110_I 0.86 0.00
203_D 121_R 0.86 0.00
187_V 106_L 0.85 0.00
285_V 75_L 0.85 0.00
131_V 143_E 0.85 0.00
232_L 89_V 0.84 0.00
195_V 65_A 0.83 0.00
68_E 112_D 0.83 0.00
283_S 75_L 0.83 0.00
157_R 121_R 0.82 0.00
156_L 121_R 0.82 0.00
176_R 17_N 0.82 0.00
141_V 95_D 0.82 0.00
40_Y 31_I 0.81 0.00
52_V 2_L 0.80 0.00
49_R 104_R 0.80 0.00
178_G 10_E 0.80 0.00
145_Q 27_F 0.80 0.00
97_E 97_L 0.79 0.00
195_V 122_I 0.79 0.00
32_S 78_L 0.79 0.00
71_L 122_I 0.79 0.00
282_Q 110_I 0.79 0.00
218_F 67_L 0.78 0.00
68_E 108_A 0.78 0.00
133_H 47_A 0.78 0.00
124_I 38_A 0.77 0.00
138_N 64_R 0.77 0.00
140_A 82_G 0.77 0.00
104_E 67_L 0.76 0.00
299_V 49_L 0.76 0.00
284_A 39_W 0.76 0.00
105_Q 52_H 0.76 0.00
167_A 64_R 0.75 0.00
176_R 93_D 0.75 0.00
92_H 120_I 0.75 0.00
16_Y 6_L 0.74 0.00
173_I 77_A 0.74 0.00
199_V 112_D 0.74 0.00
103_H 106_L 0.74 0.00
114_T 85_A 0.73 0.00
160_I 25_T 0.73 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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