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OPENSEQ.org
UGPC - UGPQ
UniProt: P10907 - P10908
Length: 603
Sequences: 404
Seq/Len: 0.68
I_Prob: 0.00
UGPC - sn-glycerol-3-phosphate import ATP-binding protein UgpC
Paralog alert: 0.83 [within 20: 0.12] - ratio of genomes with paralogs
Cluster includes: ARTP BTUD CCMA CYSA DDPD DDPF DPPD DPPF FBPC FECE FEPC FHUC FTSE GLNQ GLTL HISP LIVF LIVG LOLD LPTB MALK METN MLAF MODC NIKD NIKE OPPD OPPF PHNC PHNK PHNL POTA POTG PROV PSTB SAPD SAPF SSUB SUFC TAUB THIQ UGPC YADG YBBA YBBL YCJV YDCT YECC YEHX YHDZ YNJD ZNUC 		UGPQ - Glycerophosphoryl diester phosphodiesterase
Paralog alert: 0.70 [within 20: 0.03] - ratio of genomes with paralogs
Cluster includes: UGPQ
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
245_G 45_S 1.15 0.00
201_L 61_T 1.07 0.00
217_G 235_D 1.03 0.00
202_A 190_L 0.95 0.00
199_M 232_I 0.95 0.00
13_W 133_A 0.94 0.00
57_T 113_I 0.94 0.00
182_R 31_A 0.92 0.00
177_L 105_R 0.89 0.00
280_I 173_R 0.87 0.00
206_M 44_L 0.85 0.00
124_L 61_T 0.84 0.00
299_M 188_I 0.83 0.00
177_L 114_E 0.83 0.00
208_M 206_A 0.81 0.00
150_V 26_S 0.81 0.00
109_Q 135_E 0.81 0.00
139_Q 27_I 0.79 0.00
120_R 235_D 0.79 0.00
112_A 115_I 0.79 0.00
125_D 232_I 0.78 0.00
336_L 144_L 0.78 0.00
134_E 139_G 0.78 0.00
243_L 42_A 0.78 0.00
224_E 145_L 0.77 0.00
297_M 133_A 0.77 0.00
13_W 183_L 0.76 0.00
13_W 31_A 0.76 0.00
276_M 96_L 0.76 0.00
155_V 131_L 0.76 0.00
27_V 179_L 0.75 0.00
322_V 188_I 0.75 0.00
201_L 60_R 0.75 0.00
149_I 226_R 0.75 0.00
181_H 101_A 0.74 0.00
104_R 213_Y 0.74 0.00
182_R 235_D 0.74 0.00
55_R 11_A 0.73 0.00
245_G 11_A 0.73 0.00
189_L 67_V 0.73 0.00
107_G 222_A 0.72 0.00
214_E 62_S 0.72 0.00
218_T 42_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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