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OPENSEQ.org

LIPB - RLMH
UniProt:
Length: 368
Sequences: 750
Seq/Len: 2.10
I_Prob: 0.08
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
148_S 81_T 1.29 0.08
41_V 136_V 1.14 0.05
130_Y 10_T 1.08 0.04
44_Y 116_A 1.05 0.04
90_N 64_A 1.04 0.04
38_I 92_K 1.03 0.04
153_A 35_L 1.01 0.04
131_V 27_F 1.00 0.03
23_M 150_H 0.99 0.03
145_R 59_Q 0.97 0.03
160_L 85_A 0.97 0.03
28_D 85_A 0.95 0.03
152_L 122_L 0.92 0.03
23_M 106_E 0.90 0.02
39_W 154_R 0.88 0.02
109_V 101_L 0.87 0.02
101_L 81_T 0.87 0.02
89_L 64_A 0.87 0.02
101_L 132_V 0.86 0.02
23_M 30_D 0.84 0.02
75_V 113_K 0.84 0.02
142_R 147_T 0.83 0.02
118_I 69_I 0.81 0.02
99_R 149_N 0.81 0.02
59_L 111_A 0.80 0.02
108_T 102_I 0.80 0.02
125_D 102_I 0.80 0.02
24_H 149_N 0.80 0.02
99_R 20_F 0.79 0.02
142_R 16_V 0.79 0.02
164_L 84_L 0.79 0.02
176_M 139_S 0.78 0.01
178_K 123_S 0.78 0.01
195_L 149_N 0.77 0.01
77_Y 8_V 0.76 0.01
19_I 8_V 0.76 0.01
95_K 44_G 0.76 0.01
34_T 6_V 0.76 0.01
130_Y 11_K 0.75 0.01
125_D 100_L 0.75 0.01
190_N 6_V 0.75 0.01
141_L 11_K 0.73 0.01
149_F 59_Q 0.73 0.01
74_Q 96_R 0.73 0.01
70_D 126_T 0.73 0.01
39_W 128_P 0.73 0.01
126_A 15_W 0.73 0.01
70_D 12_M 0.72 0.01
177_A 131_L 0.72 0.01
39_W 150_H 0.72 0.01
149_F 127_L 0.72 0.01
51_Q 125_L 0.72 0.01
79_G 95_G 0.71 0.01
83_Q 51_R 0.71 0.01
126_A 19_G 0.71 0.01
109_V 8_V 0.71 0.01
142_R 130_P 0.71 0.01
181_Q 71_T 0.70 0.01
176_M 125_L 0.70 0.01
177_A 73_D 0.70 0.01
141_L 12_M 0.70 0.01
153_A 39_P 0.69 0.01
12_G 122_L 0.69 0.01
23_M 154_R 0.69 0.01
113_L 108_L 0.69 0.01
141_L 33_F 0.69 0.01
39_W 30_D 0.69 0.01
57_H 19_G 0.68 0.01
90_N 80_D 0.68 0.01
75_V 60_M 0.68 0.01
109_V 86_A 0.68 0.01
28_D 66_K 0.68 0.01
24_H 100_L 0.68 0.01
157_N 24_L 0.67 0.01
116_L 119_S 0.67 0.01
41_V 80_D 0.67 0.01
42_E 92_K 0.67 0.01
158_M 16_V 0.67 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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