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OPENSEQ.org
L19 - S15
UniProt: P60490 - Q5SJ76
Length: 235
Sequences: 1160
Seq/Len: 5.66
I_Prob: 0.02
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.
3v2c3v2cO 3v2dT 3v2eO 3v2fTContact Map
2j002j00O 2j01T 2j02O 2j03TContact Map
4juw4juwO 4juxTContact Map
4kix4kixP 4kiyO 4kizP 4kj0O 4kj1P 4kj2O 4kj3P 4kj4OContact Map
4kj54kj5P 4kj6O 4kj7P 4kj8O 4kj9P 4kjaO 4kjbP 4kjcOContact Map
3uyd3uydR 3uyeR 3uyfR 3uygRContact Map
4gd13r8sP 3r8tP 4gd1O 4gd2OContact Map
3ohc3ohcO 3ohdO 3ohjT 3ohkTContact Map
3knh3knhO 3kniT 3knjO 3knkTContact Map
3ohy3ohyO 3ohzT 3oi0O 3oi1TContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
65_K 16_A 0.97 0.02
96_R 35_R 0.87 0.01
53_R 1_M 0.78 0.01
65_K 81_L 0.77 0.01
7_I 48_K 0.72 0.01
98_K 89_G 0.71 0.01
86_I 48_K 0.71 0.01
97_A 86_G 0.69 0.01
86_I 10_K 0.68 0.01
91_R 29_V 0.67 0.01
18_D 33_T 0.66 0.01
57_F 33_T 0.66 0.01
9_L 2_P 0.65 0.01
53_R 65_R 0.65 0.01
70_V 57_L 0.65 0.01
46_E 27_V 0.65 0.01
21_E 7_E 0.64 0.01
29_R 61_G 0.64 0.01
20_P 77_R 0.63 0.01
85_K 3_I 0.63 0.01
34_V 51_H 0.62 0.01
24_P 9_Q 0.61 0.01
75_I 50_H 0.61 0.01
107_D 35_R 0.61 0.01
105_L 5_K 0.60 0.01
104_N 68_R 0.60 0.01
61_F 60_V 0.58 0.01
12_S 29_V 0.57 0.01
85_K 15_F 0.57 0.01
75_I 62_Q 0.56 0.01
58_N 2_P 0.56 0.01
4_G 17_R 0.56 0.01
8_K 10_K 0.55 0.01
61_F 59_M 0.55 0.01
89_V 5_K 0.54 0.01
82_L 12_I 0.53 0.01
58_N 16_A 0.53 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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