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OPENSEQ.org

RLMH - RLMI
UniProt:
Length: 551
Sequences: 662
Seq/Len: 1.21
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
127_L 66_W 1.05 0.00
64_A 22_V 1.02 0.00
127_L 53_G 1.02 0.00
84_L 299_M 0.97 0.00
120_W 153_I 0.96 0.00
110_P 293_K 0.96 0.00
6_V 6_V 0.92 0.00
140_L 308_K 0.92 0.00
5_L 279_D 0.91 0.00
27_F 298_V 0.91 0.00
4_Q 5_L 0.90 0.00
82_P 23_F 0.89 0.00
38_I 34_A 0.88 0.00
149_N 6_V 0.88 0.00
82_P 120_F 0.87 0.00
135_L 298_V 0.87 0.00
57_G 70_P 0.86 0.00
5_L 134_E 0.86 0.00
126_T 132_G 0.85 0.00
154_R 106_A 0.85 0.00
111_A 140_L 0.85 0.00
67_N 43_V 0.85 0.00
23_Y 24_S 0.84 0.00
7_A 61_I 0.82 0.00
57_G 140_L 0.82 0.00
151_P 192_L 0.82 0.00
115_A 101_S 0.81 0.00
96_R 365_Q 0.81 0.00
64_A 50_L 0.80 0.00
34_E 329_L 0.80 0.00
21_T 374_A 0.79 0.00
111_A 177_E 0.79 0.00
64_A 194_V 0.79 0.00
135_L 297_I 0.78 0.00
5_L 223_R 0.78 0.00
90_R 29_R 0.78 0.00
111_A 28_A 0.78 0.00
2_K 223_R 0.78 0.00
27_F 54_A 0.77 0.00
149_N 61_I 0.77 0.00
21_T 4_R 0.76 0.00
149_N 294_F 0.76 0.00
38_I 51_A 0.76 0.00
36_I 140_L 0.76 0.00
148_T 269_D 0.75 0.00
151_P 189_G 0.75 0.00
147_T 289_D 0.74 0.00
102_I 72_E 0.74 0.00
60_M 126_L 0.73 0.00
54_D 137_R 0.73 0.00
57_G 125_V 0.73 0.00
154_R 342_G 0.73 0.00
87_E 42_I 0.72 0.00
101_L 139_A 0.72 0.00
86_A 244_S 0.72 0.00
124_A 221_N 0.72 0.00
6_V 337_T 0.72 0.00
46_N 102_Y 0.72 0.00
64_A 65_V 0.72 0.00
141_Y 130_S 0.72 0.00
88_L 66_W 0.72 0.00
112_C 169_L 0.72 0.00
64_A 53_G 0.72 0.00
40_A 373_A 0.72 0.00
114_A 135_Y 0.71 0.00
19_G 28_A 0.71 0.00
11_K 120_F 0.71 0.00
111_A 282_K 0.71 0.00
101_L 252_S 0.71 0.00
23_Y 22_V 0.70 0.00
116_A 18_R 0.70 0.00
14_D 138_A 0.70 0.00
65_G 9_K 0.70 0.00
85_A 58_A 0.70 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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