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OPENSEQ.org
S05 - S18
UniProt: Q5SHQ5 - Q5SLQ0
Length: 250
Sequences: 866
Seq/Len: 3.85
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.
2vqe2vqeERContact Map
3v2c3v2cER 3v2eERContact Map
2uub2uubERContact Map
2j002j00ER 2j02ERContact Map
3t1y3t1yERContact Map
4juw4juwERContact Map
2uua2uuaERContact Map
4b3m4b3mERContact Map
2uxc2uxcERContact Map
4kix4kiyER 4kj0ER 4kj2ER 4kj4ERContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
126_R 67_A 0.96 0.01
9_K 66_L 0.90 0.01
136_M 82_T 0.86 0.01
140_R 70_I 0.85 0.01
156_A 70_I 0.85 0.01
56_Q 47_T 0.84 0.01
128_P 68_K 0.83 0.01
127_N 27_G 0.82 0.01
120_T 38_E 0.82 0.01
83_E 79_L 0.80 0.01
93_P 57_G 0.80 0.01
81_E 44_L 0.78 0.01
138_A 20_A 0.78 0.01
8_E 65_I 0.78 0.01
150_R 75_I 0.77 0.01
86_A 44_L 0.76 0.01
37_R 27_G 0.75 0.01
48_A 44_L 0.75 0.01
49_P 18_R 0.74 0.01
63_R 78_L 0.74 0.01
82_V 47_T 0.74 0.01
129_I 56_T 0.74 0.01
32_V 53_R 0.74 0.00
154_G 31_L 0.73 0.00
122_E 51_L 0.72 0.00
55_V 75_I 0.70 0.00
21_A 56_T 0.69 0.00
78_H 37_V 0.69 0.00
87_S 75_I 0.68 0.00
10_M 42_R 0.68 0.00
58_A 41_K 0.67 0.00
27_R 67_A 0.67 0.00
78_H 44_L 0.66 0.00
48_A 18_R 0.66 0.00
129_I 55_R 0.66 0.00
78_H 38_E 0.66 0.00
149_E 80_P 0.65 0.00
120_T 26_L 0.64 0.00
4_T 56_T 0.63 0.00
8_E 82_T 0.63 0.00
41_V 41_K 0.63 0.00
14_R 82_T 0.62 0.00
124_G 55_R 0.62 0.00
158_A 39_V 0.62 0.00
69_V 36_N 0.61 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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