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OPENSEQ.org
L27 - S18
UniProt: P60493 - Q5SLQ0
Length: 173
Sequences: 963
Seq/Len: 6.34
I_Prob: 0.32
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.
3v2c3v2cR 3v2d0 3v2eR 3v2f0Contact Map
2j002j00R 2j010 2j02R 2j030Contact Map
4kix4kixW 4kiyR 4kizW 4kj0R 4kj1W 4kj2R 4kj3W 4kj4RContact Map
4kj54kj5W 4kj6R 4kj7W 4kj8R 4kj9W 4kjaR 4kjbW 4kjcRContact Map
3uyd3uydU 3uye3 3uyfU 3uyg3Contact Map
3knh3knhR 3kni0 3knjR 3knk0Contact Map
3ohc3ohcR 3ohdR 3ohj0 3ohk0Contact Map
3f1e3f1eR 3f1f0 3f1gR 3f1h0Contact Map
3ohy3ohyR 3ohz0 3oi0R 3oi10Contact Map
3v223v22R 3v230 3v24R 3v250Contact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
6_G 53_R 1.21 0.32
1_M 17_S 0.99 0.17
49_K 68_K 0.93 0.14
63_V 79_L 0.86 0.11
57_F 42_R 0.83 0.10
81_V 30_D 0.76 0.07
7_L 75_I 0.74 0.07
29_Q 84_K 0.72 0.06
10_T 29_F 0.69 0.05
10_T 37_V 0.67 0.05
46_K 55_R 0.67 0.05
72_R 43_F 0.66 0.05
79_V 44_L 0.64 0.04
11_R 21_K 0.61 0.04
77_R 41_K 0.60 0.04
27_E 84_K 0.60 0.04
3_H 75_I 0.59 0.03
1_M 23_K 0.59 0.03
19_K 82_T 0.59 0.03
75_L 76_L 0.59 0.03
84_L 37_V 0.59 0.03
8_G 66_L 0.58 0.03
28_G 64_R 0.58 0.03
46_K 41_K 0.58 0.03
53_M 18_R 0.58 0.03
37_L 47_T 0.58 0.03
64_D 70_I 0.57 0.03
31_V 67_A 0.57 0.03
82_R 68_K 0.56 0.03
45_F 77_G 0.56 0.03
25_R 45_S 0.56 0.03
68_E 82_T 0.56 0.03
7_L 58_L 0.55 0.03
3_H 33_D 0.55 0.03
27_E 23_K 0.55 0.03
15_D 66_L 0.55 0.03
61_A 49_K 0.55 0.03
77_R 27_G 0.55 0.03
27_E 17_S 0.54 0.03
3_H 36_N 0.54 0.03
62_L 21_K 0.54 0.03
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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