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OPENSEQ.org

EMRA - MPRA
UniProt: P27303 - P0ACR9
Length: 566
Sequences: 318
Seq/Len: 0.61
I_Prob: 0.00

EMRA - Multidrug resistance protein A
Paralog alert: 0.74 [within 20: 0.06] - ratio of genomes with paralogs
Cluster includes: AAEA ACRA ACRE EMRA EMRK MACA MDTA MDTE MDTN YBHG YDHJ YHII YIAV YIBH
MPRA - Transcriptional repressor MprA
Paralog alert: 0.79 [within 20: 0.06] - ratio of genomes with paralogs
Cluster includes: MARR MPRA SLYA
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
101_F 151_L 1.38 0.00
109_A 81_L 1.21 0.00
274_I 33_C 1.18 0.00
205_E 64_L 1.13 0.00
325_L 48_L 1.12 0.00
301_S 45_N 1.12 0.00
140_Q 64_L 1.08 0.00
172_A 53_I 1.04 0.00
313_I 74_P 0.98 0.00
323_I 153_Q 0.94 0.00
125_L 115_L 0.92 0.00
345_V 29_L 0.92 0.00
75_V 52_G 0.91 0.00
205_E 157_K 0.91 0.00
101_F 96_E 0.90 0.00
226_V 149_D 0.90 0.00
210_W 162_L 0.90 0.00
30_L 124_F 0.90 0.00
88_V 146_T 0.90 0.00
339_L 81_L 0.88 0.00
160_L 96_E 0.88 0.00
325_L 73_Q 0.88 0.00
67_Q 77_L 0.87 0.00
54_D 44_R 0.87 0.00
223_T 104_R 0.85 0.00
147_V 128_V 0.85 0.00
87_D 60_A 0.85 0.00
289_V 123_E 0.85 0.00
246_V 99_G 0.84 0.00
150_G 107_D 0.84 0.00
336_R 57_L 0.84 0.00
259_K 110_R 0.84 0.00
242_P 117_L 0.83 0.00
159_E 159_L 0.83 0.00
85_E 119_E 0.83 0.00
77_A 144_S 0.83 0.00
180_Q 61_L 0.83 0.00
272_V 114_H 0.82 0.00
336_R 32_L 0.82 0.00
274_I 29_L 0.82 0.00
264_A 158_L 0.82 0.00
185_Q 44_R 0.82 0.00
161_Q 101_I 0.81 0.00
179_Q 101_I 0.81 0.00
169_S 64_L 0.81 0.00
343_V 95_L 0.81 0.00
172_A 121_G 0.80 0.00
316_V 89_T 0.80 0.00
239_P 99_G 0.80 0.00
136_L 39_K 0.80 0.00
105_K 58_F 0.79 0.00
85_E 125_L 0.79 0.00
54_D 53_I 0.79 0.00
47_R 50_A 0.79 0.00
64_I 146_T 0.79 0.00
166_A 34_M 0.79 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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