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OPENSEQ.org
L17 - L23
UniProt: Q9Z9H5 - Q5SHP0
Length: 214
Sequences: 1264
Seq/Len: 6.02
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.
3v2c3v2dRX 3v2fRXContact Map
2j002j01RX 2j03RXContact Map
4juw4juxRXContact Map
4kix4kixNT 4kizNT 4kj1NT 4kj3NTContact Map
4kj54kj5NT 4kj7NT 4kj9NT 4kjbNTContact Map
2zjr2zjrKQContact Map
4btc4btdRXContact Map
3uyd3uye0T 3uyg0TContact Map
4gd13r8sNT 3r8tNTContact Map
3knh3kniRX 3knkRXContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
42_K 84_A 0.98 0.02
55_A 26_Y 0.97 0.02
87_Y 24_G 0.74 0.01
23_N 40_K 0.73 0.01
101_A 13_L 0.72 0.01
108_G 59_V 0.69 0.01
51_L 4_A 0.69 0.01
108_G 38_E 0.68 0.01
117_V 39_I 0.66 0.01
31_H 16_K 0.66 0.01
15_S 84_A 0.66 0.01
27_S 16_K 0.64 0.01
11_N 7_V 0.64 0.01
45_R 49_V 0.64 0.01
29_L 37_T 0.63 0.01
85_P 8_I 0.62 0.01
108_G 10_A 0.62 0.01
98_L 29_W 0.61 0.01
116_L 52_V 0.61 0.01
86_R 29_W 0.61 0.01
81_D 7_V 0.61 0.01
55_A 58_H 0.61 0.01
75_L 77_K 0.61 0.01
101_A 94_G 0.61 0.01
87_Y 82_Q 0.61 0.01
63_R 21_F 0.60 0.01
84_A 81_V 0.60 0.01
5_K 14_S 0.60 0.01
95_T 93_E 0.59 0.01
27_S 72_K 0.59 0.01
50_H 22_A 0.58 0.01
97_V 95_L 0.58 0.01
29_L 41_N 0.58 0.01
26_K 25_K 0.57 0.01
40_K 75_D 0.57 0.01
74_K 22_A 0.57 0.01
62_A 6_D 0.57 0.01
89_D 23_E 0.57 0.01
47_F 53_K 0.56 0.01
112_A 47_F 0.56 0.01
33_R 92_L 0.56 0.01
86_R 24_G 0.55 0.01
112_A 63_K 0.55 0.01
86_R 75_D 0.55 0.01
4_L 17_A 0.55 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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