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OPENSEQ.org

L25 - L30
UniProt: Q5SHZ1 - Q5SHQ6
Length: 266
Sequences: 1064
Seq/Len: 4.34
I_Prob: 0.01
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.
3v2c3v2dZ3 3v2fZ3Contact Map
2j002j01Z3 2j03Z3Contact Map
4juw4juxZ3Contact Map
4kix4kixVZ 4kizVZ 4kj1VZ 4kj3VZContact Map
4kj54kj5VZ 4kj7VZ 4kj9VZ 4kjbVZContact Map
2zjr2zjrSWContact Map
4btc4btdZ3Contact Map
3uyd3uyeVX 3uygVXContact Map
4gd13r8sVZ 3r8tVZContact Map
3knh3kniZ3 3knkZ3Contact Map


Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
126_V 29_R 0.98 0.01
91_L 33_Q 0.95 0.01
22_G 29_R 0.89 0.01
91_L 56_V 0.86 0.01
176_P 11_S 0.82 0.01
12_G 23_L 0.82 0.01
44_F 17_K 0.82 0.01
22_G 13_I 0.79 0.01
160_G 5_K 0.79 0.01
73_Q 33_Q 0.74 0.01
102_L 16_P 0.72 0.01
77_D 29_R 0.72 0.01
75_N 41_P 0.70 0.01
16_S 20_K 0.68 0.01
95_P 6_V 0.67 0.01
98_M 50_V 0.67 0.01
148_D 32_Q 0.66 0.01
79_R 52_H 0.65 0.01
133_I 52_H 0.65 0.01
122_R 19_Q 0.65 0.01
74_V 58_V 0.65 0.01
9_Y 42_A 0.64 0.01
89_F 8_L 0.64 0.01
119_E 6_V 0.64 0.01
130_P 7_K 0.64 0.01
122_R 10_K 0.63 0.01
57_I 43_I 0.63 0.01
124_I 51_A 0.62 0.01
42_V 58_V 0.62 0.01
111_V 1_M 0.62 0.01
171_I 40_T 0.62 0.01
18_L 23_L 0.60 0.01
81_R 10_K 0.60 0.01
157_L 30_R 0.60 0.01
98_M 56_V 0.60 0.01
14_K 54_V 0.60 0.01
144_L 48_E 0.60 0.01
123_D 6_V 0.60 0.01
67_L 18_D 0.59 0.01
122_R 52_H 0.59 0.01
9_Y 10_K 0.59 0.01
141_V 20_K 0.59 0.01
167_P 6_V 0.58 0.01
39_V 24_K 0.58 0.01
182_K 47_V 0.58 0.00
140_D 30_R 0.58 0.00
141_V 1_M 0.58 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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