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OPENSEQ.org

PHNP - YCJY
UniProt: P16692 - P76049
Length: 558
Sequences: 355
Seq/Len: 0.66
I_Prob: 0.00

PHNP - Protein PhnP
Paralog alert: 0.61 [within 20: 0.01] - ratio of genomes with paralogs
Cluster includes: PHNP RBN
YCJY - Uncharacterized protein YcjY
Paralog alert: 0.86 [within 20: 0.26] - ratio of genomes with paralogs
Cluster includes: BIOH DLHH MENH MHPC PLDB RUTD YBFF YCJY YFHR YGHX YJFP
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
170_E 201_Q 1.16 0.00
192_P 298_L 1.15 0.00
173_L 37_I 1.11 0.00
48_D 259_S 1.06 0.00
188_C 59_A 1.04 0.00
98_V 63_F 1.04 0.00
75_T 35_Q 1.03 0.00
118_D 37_I 1.03 0.00
61_A 137_G 0.97 0.00
216_P 38_V 0.96 0.00
52_L 254_G 0.95 0.00
152_L 292_A 0.95 0.00
64_W 127_A 0.95 0.00
132_Q 126_A 0.94 0.00
69_F 208_T 0.94 0.00
131_L 60_E 0.93 0.00
209_L 36_A 0.91 0.00
98_V 245_T 0.91 0.00
117_L 302_F 0.90 0.00
98_V 273_Y 0.89 0.00
135_Q 135_A 0.88 0.00
212_V 113_A 0.88 0.00
149_G 222_L 0.87 0.00
152_L 110_R 0.87 0.00
75_T 131_R 0.87 0.00
72_F 168_G 0.86 0.00
48_D 113_A 0.85 0.00
96_I 273_Y 0.85 0.00
98_V 130_D 0.85 0.00
251_V 137_G 0.84 0.00
48_D 206_Y 0.84 0.00
199_N 298_L 0.84 0.00
44_V 298_L 0.83 0.00
64_W 108_N 0.83 0.00
5_L 123_T 0.83 0.00
249_I 66_I 0.82 0.00
159_V 163_P 0.82 0.00
136_V 140_S 0.81 0.00
17_P 41_H 0.81 0.00
67_G 298_L 0.81 0.00
98_V 91_E 0.80 0.00
172_T 37_I 0.80 0.00
152_L 237_A 0.79 0.00
190_H 140_S 0.78 0.00
142_N 259_S 0.78 0.00
195_D 245_T 0.78 0.00
99_Y 301_F 0.77 0.00
52_L 248_V 0.77 0.00
161_W 109_T 0.77 0.00
135_Q 58_L 0.77 0.00
220_L 66_I 0.77 0.00
5_L 277_E 0.77 0.00
5_L 130_D 0.77 0.00
172_T 135_A 0.77 0.00
112_K 113_A 0.77 0.00
120_S 57_K 0.76 0.00
84_G 65_T 0.76 0.00
82_V 63_F 0.76 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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