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OPENSEQ.org

MNMA - MNME
UniProt:
Length: 822
Sequences: 1499
Seq/Len: 1.85
I_Prob: 0.00
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
335_E 355_I 0.97 0.00
210_L 18_G 0.93 0.00
33_E 112_S 0.93 0.00
62_C 239_R 0.87 0.00
144_G 20_G 0.85 0.00
131_R 423_L 0.85 0.00
147_S 300_L 0.84 0.00
21_S 107_R 0.82 0.00
91_K 333_V 0.80 0.00
331_V 58_V 0.80 0.00
100_I 174_I 0.77 0.00
309_K 231_S 0.76 0.00
170_V 403_L 0.76 0.00
91_K 215_E 0.75 0.00
137_G 387_L 0.74 0.00
191_K 407_K 0.74 0.00
264_K 81_L 0.73 0.00
235_L 434_T 0.72 0.00
170_V 255_L 0.72 0.00
339_A 24_I 0.72 0.00
58_A 172_A 0.71 0.00
172_E 161_E 0.71 0.00
321_V 215_E 0.71 0.00
197_G 289_A 0.71 0.00
125_A 452_I 0.71 0.00
345_S 90_L 0.71 0.00
228_E 277_A 0.70 0.00
338_A 174_I 0.70 0.00
244_K 59_L 0.70 0.00
113_E 134_D 0.70 0.00
340_V 224_R 0.69 0.00
238_H 90_L 0.69 0.00
224_V 135_A 0.69 0.00
176_P 161_E 0.69 0.00
115_A 302_M 0.69 0.00
10_V 423_L 0.68 0.00
141_L 418_L 0.68 0.00
228_E 426_A 0.67 0.00
8_V 407_K 0.67 0.00
104_K 10_Q 0.67 0.00
109_K 392_H 0.66 0.00
60_A 18_G 0.65 0.00
318_P 86_G 0.65 0.00
350_N 248_A 0.65 0.00
359_I 73_F 0.65 0.00
285_V 333_V 0.65 0.00
201_I 153_S 0.65 0.00
24_L 68_P 0.65 0.00
228_E 22_L 0.65 0.00
359_I 67_F 0.65 0.00
73_N 233_L 0.65 0.00
79_W 288_R 0.65 0.00
274_A 237_A 0.65 0.00
10_V 118_N 0.64 0.00
256_E 441_D 0.64 0.00
326_D 145_L 0.64 0.00
152_S 82_Q 0.64 0.00
310_T 156_V 0.64 0.00
229_I 436_E 0.64 0.00
352_E 367_V 0.64 0.00
113_E 170_V 0.64 0.00
292_L 295_Q 0.64 0.00
260_Y 321_I 0.63 0.00
47_E 339_I 0.63 0.00
11_G 159_L 0.63 0.00
253_E 69_G 0.63 0.00
28_Q 399_A 0.63 0.00
278_E 423_L 0.62 0.00
144_G 305_G 0.62 0.00
100_I 289_A 0.62 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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