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OPENSEQ.org
S07 - S19
UniProt: P17291 - Q5SHP2
Length: 249
Sequences: 1281
Seq/Len: 5.23
I_Prob: 0.04
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.
2vqe2vqeGSContact Map
3v2c3v2cGS 3v2eGSContact Map
2uub2uubGSContact Map
2j002j00GS 2j02GSContact Map
3t1y3t1yGSContact Map
4juw4juwGSContact Map
2uua2uuaGSContact Map
4b3m4b3mGSContact Map
2uxc2uxcGSContact Map
4kix4kiyGS 4kj0GS 4kj2GS 4kj4GSContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
138_K 26_G 1.04 0.04
81_G 83_H 0.96 0.03
76_R 52_Y 0.95 0.03
140_D 25_K 0.89 0.03
50_I 51_V 0.86 0.03
14_P 88_K 0.85 0.02
150_A 83_H 0.84 0.02
111_R 70_K 0.84 0.02
154_Y 44_M 0.84 0.02
63_K 44_M 0.82 0.02
8_E 85_K 0.80 0.02
138_K 44_M 0.80 0.02
60_K 2_P 0.78 0.02
17_V 85_K 0.77 0.02
73_M 53_N 0.77 0.02
89_M 52_Y 0.77 0.02
18_Y 87_A 0.76 0.02
8_E 52_Y 0.76 0.02
8_E 87_A 0.76 0.02
115_R 86_E 0.75 0.02
23_V 60_V 0.73 0.02
105_V 26_G 0.72 0.01
152_A 63_T 0.72 0.01
152_A 33_T 0.71 0.01
12_L 43_E 0.70 0.01
107_A 5_L 0.70 0.01
64_Q 13_D 0.70 0.01
32_R 45_V 0.70 0.01
130_G 56_Q 0.70 0.01
72_R 31_I 0.69 0.01
14_P 11_V 0.69 0.01
52_E 5_L 0.69 0.01
12_L 25_K 0.69 0.01
62_F 16_L 0.69 0.01
101_L 28_K 0.68 0.01
5_R 55_K 0.67 0.01
61_V 31_I 0.67 0.01
6_R 2_P 0.66 0.01
74_E 78_R 0.66 0.01
152_A 71_L 0.66 0.01
118_V 56_Q 0.65 0.01
49_I 21_E 0.65 0.01
8_E 24_A 0.65 0.01
32_R 49_I 0.64 0.01
131_K 2_P 0.64 0.01
131_K 39_T 0.64 0.01
76_R 44_M 0.64 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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