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OPENSEQ.org

PLSX - RL32
UniProt: P27247 - P0A7N4
Length: 413
Sequences: 618
Seq/Len: 1.59
I_Prob: 0.01

PLSX - Phosphate acyltransferase
Paralog alert: 0.01 [within 20: 0.00] - ratio of genomes with paralogs
Cluster includes: PLSX
RL32 - 50S ribosomal protein L32
Paralog alert: 0.03 [within 20: 0.00] - ratio of genomes with paralogs
Cluster includes: RL32
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
73_A 28_L 1.23 0.01
211_Y 46_D 1.19 0.01
34_L 10_R 1.06 0.01
131_V 9_T 1.06 0.01
261_K 54_V 0.97 0.00
147_L 19_H 0.93 0.00
111_L 2_A 0.91 0.00
34_L 50_R 0.91 0.00
121_P 34_S 0.90 0.00
267_L 36_E 0.89 0.00
277_L 3_V 0.89 0.00
163_I 7_K 0.89 0.00
23_A 44_T 0.87 0.00
147_L 13_R 0.86 0.00
23_A 40_R 0.85 0.00
168_L 34_S 0.85 0.00
234_T 55_I 0.85 0.00
172_V 52_R 0.83 0.00
112_M 22_L 0.83 0.00
206_I 52_R 0.83 0.00
4_L 7_K 0.83 0.00
204_K 52_R 0.82 0.00
44_A 7_K 0.82 0.00
184_N 13_R 0.81 0.00
108_T 48_Y 0.81 0.00
211_Y 16_R 0.80 0.00
154_D 44_T 0.80 0.00
79_I 50_R 0.80 0.00
96_E 48_Y 0.80 0.00
175_I 48_Y 0.80 0.00
174_E 4_Q 0.80 0.00
278_T 26_T 0.79 0.00
211_Y 31_D 0.79 0.00
232_G 2_A 0.79 0.00
107_N 19_H 0.79 0.00
99_A 11_S 0.79 0.00
95_K 23_T 0.78 0.00
16_G 4_Q 0.78 0.00
337_E 28_L 0.78 0.00
273_L 11_S 0.77 0.00
196_I 2_A 0.77 0.00
72_D 53_K 0.76 0.00
19_V 2_A 0.75 0.00
301_V 2_A 0.75 0.00
228_L 37_K 0.75 0.00
285_N 38_H 0.74 0.00
211_Y 44_T 0.74 0.00
290_N 42_H 0.74 0.00
204_K 16_R 0.74 0.00
242_M 29_S 0.73 0.00
103_V 18_S 0.72 0.00
131_V 16_R 0.72 0.00
29_N 42_H 0.72 0.00
152_D 31_D 0.72 0.00
23_A 34_S 0.71 0.00
295_L 45_A 0.71 0.00
327_Q 24_A 0.71 0.00
234_T 50_R 0.71 0.00
61_Q 30_V 0.71 0.00
198_D 43_I 0.71 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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