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OPENSEQ.org

SECF - YAJC
UniProt:
Length: 433
Sequences: 1035
Seq/Len: 2.52
I_Prob: 0.02
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
290_Y 56_I 1.13 0.02
206_V 66_G 1.11 0.02
230_R 95_R 0.98 0.01
49_G 34_F 0.97 0.01
139_G 52_L 0.91 0.01
173_V 95_R 0.87 0.01
268_P 72_V 0.86 0.01
51_D 34_F 0.85 0.01
211_L 54_D 0.85 0.01
153_A 43_Q 0.85 0.01
138_V 83_I 0.85 0.01
242_T 86_N 0.84 0.01
140_A 81_I 0.83 0.01
29_I 28_V 0.82 0.01
240_S 58_K 0.80 0.01
116_K 62_V 0.79 0.01
136_P 45_R 0.78 0.01
169_L 110_L 0.78 0.01
250_I 45_R 0.78 0.01
173_V 90_E 0.77 0.01
205_S 108_K 0.77 0.01
264_L 60_D 0.77 0.01
249_L 51_K 0.77 0.01
58_I 37_M 0.77 0.01
167_W 74_K 0.77 0.01
170_A 36_F 0.76 0.01
298_K 38_I 0.76 0.01
166_E 66_G 0.75 0.01
289_I 78_N 0.75 0.01
120_E 50_K 0.74 0.01
218_S 83_I 0.74 0.01
136_P 39_L 0.73 0.01
264_L 96_D 0.72 0.01
240_S 23_L 0.72 0.01
35_I 62_V 0.71 0.01
88_F 62_V 0.71 0.01
44_R 82_A 0.71 0.01
148_M 76_A 0.71 0.01
260_L 37_M 0.71 0.01
197_L 37_M 0.71 0.01
281_V 82_A 0.70 0.01
169_L 68_L 0.70 0.01
178_A 33_I 0.69 0.01
81_E 29_V 0.69 0.01
84_M 83_I 0.69 0.01
238_N 25_L 0.69 0.01
242_T 84_A 0.69 0.01
192_H 33_I 0.69 0.01
26_A 30_F 0.69 0.01
59_E 101_V 0.69 0.01
173_V 50_K 0.69 0.01
185_L 57_A 0.69 0.01
263_Y 81_I 0.68 0.01
50_L 31_G 0.68 0.01
31_G 33_I 0.68 0.01
61_T 95_R 0.68 0.01
90_S 32_L 0.67 0.01
171_A 63_L 0.67 0.01
88_F 92_V 0.67 0.01
230_R 72_V 0.67 0.01
281_V 31_G 0.67 0.01
54_G 65_N 0.66 0.01
32_L 32_L 0.66 0.01
33_L 32_L 0.66 0.01
72_R 32_L 0.66 0.01
170_A 45_R 0.66 0.01
75_L 104_K 0.66 0.01
94_I 72_V 0.66 0.01
281_V 54_D 0.66 0.01
141_D 69_V 0.66 0.01
240_S 101_V 0.66 0.01
138_V 96_D 0.66 0.01
177_L 34_F 0.65 0.01
265_F 68_L 0.65 0.01
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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