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OPENSEQ.org
S09 - S19
UniProt: P80374 - Q5SHP2
Length: 221
Sequences: 1339
Seq/Len: 6.20
I_Prob: 0.44
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.
2vqe2vqeISContact Map
3v2c3v2cIS 3v2eISContact Map
2uub2uubISContact Map
2j002j00IS 2j02ISContact Map
3t1y3t1yISContact Map
4juw4juwISContact Map
2uua2uuaISContact Map
4b3m4b3mISContact Map
2uxc2uxcISContact Map
4kix4kiyIS 4kj0IS 4kj2IS 4kj4ISContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
116_K 57_H 1.26 0.44
59_F 88_K 0.99 0.22
83_R 69_H 0.94 0.18
123_P 57_H 0.93 0.17
117_H 88_K 0.90 0.16
46_A 67_V 0.87 0.14
79_L 5_L 0.85 0.13
121_R 52_Y 0.82 0.12
116_K 65_N 0.82 0.12
90_P 63_T 0.78 0.10
34_N 24_A 0.76 0.09
33_F 85_K 0.75 0.09
90_P 45_V 0.75 0.09
48_E 46_G 0.75 0.09
125_Y 44_M 0.75 0.09
115_G 68_G 0.74 0.08
122_A 57_H 0.73 0.08
13_A 46_G 0.73 0.08
98_P 56_Q 0.73 0.08
32_D 75_A 0.71 0.07
71_S 86_E 0.71 0.07
98_P 13_D 0.71 0.07
42_R 2_P 0.70 0.07
51_R 21_E 0.70 0.07
103_T 55_K 0.69 0.07
94_A 23_N 0.69 0.07
91_D 2_P 0.69 0.07
26_V 88_K 0.68 0.06
92_Y 5_L 0.68 0.06
14_V 44_M 0.67 0.06
43_A 2_P 0.67 0.06
82_A 22_L 0.67 0.06
93_R 2_P 0.67 0.06
91_D 43_E 0.67 0.06
38_Q 22_L 0.67 0.06
77_I 28_K 0.67 0.06
122_A 23_N 0.66 0.06
91_D 89_A 0.66 0.06
18_F 76_P 0.66 0.06
125_Y 90_T 0.66 0.06
13_A 14_H 0.65 0.06
97_K 11_V 0.65 0.06
70_K 76_P 0.65 0.06
77_I 65_N 0.64 0.05
90_P 21_E 0.64 0.05
13_A 65_N 0.63 0.05
28_V 79_T 0.63 0.05
36_Y 66_M 0.63 0.05
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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