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OPENSEQ.org

L04 - L15
UniProt: Q5SHN9 - Q5SHQ7
Length: 360
Sequences: 1514
Seq/Len: 4.41
I_Prob: 0.92
GREMLIN Results (Scaled_score > 1):

Legend: The darker and larger the blue dots, the higher strength in coevolution. Blue filled circles are GREMLIN results (Scaled_score >1). The grey/red filled circles underneath are pdb residue contacts (min distance < 5 Angstroms). The shade of the circles is based on HHsearch results which uses the overall probability and per-site alignment confidence. Inter-chain contacts in the pdb are in shades of red.
1vqo1vqoCLOContact Map
1vq81vq8CLOContact Map
1vqp1vqpCLOContact Map
1vqm1vqmCLOContact Map
1vql1vqlCLOContact Map
1vqk1vqkCLOContact Map
1yhq1yhqCLOContact Map
1s721s72CLOContact Map
1vq91vq9CLOContact Map
1vqn1vqnCLOContact Map


Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
190_E 2_K 1.65 0.92
188_R 3_L 0.94 0.40
66_P 85_L 0.87 0.31
38_R 13_N 0.86 0.30
31_H 9_N 0.86 0.30
157_V 129_A 0.81 0.25
34_W 8_P 0.73 0.18
117_R 5_D 0.72 0.17
196_L 122_P 0.72 0.17
77_D 59_L 0.71 0.17
30_P 5_D 0.71 0.16
17_R 122_P 0.71 0.16
111_A 135_L 0.70 0.15
157_V 145_P 0.69 0.15
139_F 106_L 0.68 0.14
31_H 8_P 0.68 0.14
33_L 1_M 0.68 0.14
170_L 77_R 0.68 0.14
206_I 77_R 0.67 0.14
197_D 89_A 0.67 0.14
66_P 56_S 0.67 0.13
37_V 6_L 0.67 0.13
176_L 105_L 0.67 0.13
126_V 138_L 0.66 0.13
117_R 1_M 0.65 0.12
187_V 2_K 0.64 0.12
164_R 77_R 0.64 0.12
38_R 8_P 0.63 0.11
127_E 132_K 0.62 0.11
154_V 95_V 0.61 0.10
32_L 8_P 0.60 0.10
198_A 95_V 0.60 0.10
34_W 9_N 0.60 0.10
69_H 43_G 0.60 0.10
204_N 146_V 0.60 0.09
62_R 39_K 0.60 0.09
66_P 121_K 0.60 0.09
121_G 87_D 0.59 0.09
19_E 90_R 0.59 0.09
46_R 115_L 0.58 0.09
91_G 82_G 0.58 0.09
49_A 44_G 0.58 0.08
188_R 135_L 0.57 0.08
121_G 92_E 0.57 0.08
124_L 140_A 0.57 0.08
171_P 5_D 0.57 0.08
7_Y 132_K 0.57 0.08
144_K 141_A 0.57 0.08
33_L 5_D 0.57 0.08
84_V 96_T 0.57 0.08
32_L 9_N 0.56 0.08
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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