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OPENSEQ.org

SLMA - YEES
UniProt: P0C093 - P76362
Length: 346
Sequences: 228
Seq/Len: 0.69
I_Prob: 0.00

SLMA - Nucleoid occlusion factor SlmA
Paralog alert: 0.84 [within 20: 0.25] - ratio of genomes with paralogs
Cluster includes: ACRR BDCR BETI COMR ENVR NEMR RUTR SLMA UIDR YBIH YBJK YJDC
YEES - UPF0758 protein YeeS
Paralog alert: 0.27 [within 20: 0.01] - ratio of genomes with paralogs
Cluster includes: YEES YFJY YICR YKFG
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
108_I 148_L 1.08 0.00
13_E 15_T 1.08 0.00
18_S 120_A 1.03 0.00
12_R 73_R 1.01 0.00
119_D 133_I 1.00 0.00
147_E 77_H 0.96 0.00
110_T 53_Y 0.95 0.00
147_E 65_T 0.95 0.00
57_R 15_T 0.95 0.00
18_S 82_I 0.94 0.00
21_L 132_L 0.94 0.00
8_K 95_L 0.92 0.00
153_T 34_R 0.90 0.00
97_G 66_L 0.90 0.00
50_R 133_I 0.88 0.00
35_A 95_L 0.87 0.00
13_E 104_V 0.86 0.00
99_G 71_I 0.85 0.00
21_L 115_E 0.85 0.00
71_I 66_L 0.84 0.00
155_E 83_K 0.84 0.00
92_V 132_L 0.83 0.00
58_M 57_Q 0.82 0.00
70_L 84_R 0.81 0.00
165_F 45_E 0.81 0.00
145_M 41_M 0.81 0.00
25_S 61_I 0.80 0.00
27_D 115_E 0.80 0.00
61_S 113_I 0.79 0.00
148_G 147_L 0.79 0.00
88_L 60_L 0.78 0.00
174_V 66_L 0.78 0.00
191_P 81_V 0.78 0.00
181_R 139_V 0.78 0.00
136_L 134_V 0.78 0.00
70_L 57_Q 0.78 0.00
158_L 30_T 0.78 0.00
166_C 121_L 0.78 0.00
69_S 60_L 0.78 0.00
162_I 133_I 0.78 0.00
89_R 52_L 0.77 0.00
173_F 58_N 0.77 0.00
88_L 55_N 0.77 0.00
39_A 122_G 0.77 0.00
195_A 134_V 0.76 0.00
149_E 71_I 0.76 0.00
184_D 120_A 0.76 0.00
186_F 117_L 0.76 0.00
99_G 36_W 0.76 0.00
61_S 103_E 0.76 0.00
51_H 146_G 0.76 0.00
86_A 93_V 0.76 0.00
169_M 74_T 0.76 0.00
56_T 132_L 0.76 0.00
109_L 91_A 0.76 0.00
25_S 85_A 0.75 0.00
179_K 44_L 0.74 0.00
52_F 134_V 0.74 0.00
101_R 88_H 0.74 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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