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OPENSEQ.org
L16 - L21
UniProt: P60489 - P60492
Length: 242
Sequences: 1128
Seq/Len: 4.72
I_Prob: 0.12
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.
3v2c3v2dQV 3v2fQVContact Map
2j002j01QV 2j03QVContact Map
4juw4juxQVContact Map
4kix4kixMR 4kizMR 4kj1MR 4kj3MRContact Map
4kj54kj5MR 4kj7MR 4kj9MR 4kjbMRContact Map
2zjr2zjrJOContact Map
4btc4btdQVContact Map
3uyd3uyeP2 3uygP2Contact Map
4gd13r8sMR 3r8tMRContact Map
3knh3kniQV 3knkQVContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
14_R 75_F 1.13 0.12
79_L 35_L 0.98 0.07
14_R 78_K 0.88 0.05
52_V 4_I 0.80 0.04
76_K 81_Y 0.80 0.04
35_V 77_A 0.79 0.04
35_V 75_F 0.78 0.04
132_V 44_K 0.74 0.03
103_M 63_G 0.74 0.03
118_L 78_K 0.73 0.03
81_V 16_P 0.73 0.03
118_L 80_Q 0.71 0.03
83_M 51_V 0.70 0.03
121_A 76_K 0.68 0.03
13_Q 20_L 0.68 0.02
123_H 4_I 0.67 0.02
128_K 84_K 0.67 0.02
107_A 32_T 0.66 0.02
72_K 2_F 0.66 0.02
9_Y 82_R 0.65 0.02
101_R 13_R 0.65 0.02
45_Q 80_Q 0.65 0.02
34_L 83_R 0.64 0.02
133_R 31_A 0.63 0.02
11_K 19_K 0.62 0.02
119_R 18_L 0.62 0.02
85_K 78_K 0.61 0.02
129_T 1_M 0.60 0.02
128_K 20_L 0.60 0.02
131_I 74_K 0.59 0.02
37_L 26_D 0.59 0.02
111_E 65_G 0.58 0.02
18_K 71_L 0.58 0.02
13_Q 79_V 0.57 0.01
128_K 55_A 0.57 0.01
106_V 76_K 0.56 0.01
27_V 64_H 0.56 0.01
101_R 85_K 0.55 0.01
90_V 36_P 0.55 0.01
101_R 98_E 0.55 0.01
52_V 75_F 0.55 0.01
75_T 12_Y 0.54 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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