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OPENSEQ.org
L01 - L23
UniProt: Q5SLP7 - Q5SHP0
Length: 325
Sequences: 1517
Seq/Len: 4.75
I_Prob: 0.10
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.
2j002j01CX 2j03CXContact Map
4juw4juxCXContact Map
4btc4btdCXContact Map
3knh3kniCX 3knkCXContact Map
2y102y11CX 2y19CXContact Map
3zn73zn9CX 3zneCXContact Map
2y142y15CX 2y17CXContact Map
3huw3huxCX 3huzCXContact Map
2y0u2y0vCX 2y0xCXContact Map
2xqd2xqeCXContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
130_R 40_K 1.12 0.10
53_R 18_Y 0.90 0.05
198_E 40_K 0.80 0.04
55_S 56_T 0.76 0.03
203_E 34_A 0.73 0.03
5_G 94_G 0.71 0.03
113_A 26_Y 0.71 0.03
135_R 71_G 0.71 0.03
100_I 8_I 0.70 0.03
9_R 14_S 0.70 0.03
33_L 53_K 0.70 0.02
148_F 24_G 0.70 0.02
46_A 23_E 0.68 0.02
228_H 72_K 0.66 0.02
81_G 7_V 0.66 0.02
126_S 9_L 0.66 0.02
164_F 32_P 0.65 0.02
115_V 63_K 0.64 0.02
41_T 49_V 0.63 0.02
163_E 80_I 0.62 0.02
34_A 77_K 0.61 0.02
114_V 74_P 0.61 0.02
161_R 92_L 0.61 0.02
101_I 25_K 0.61 0.02
54_R 18_Y 0.60 0.02
221_P 42_A 0.60 0.02
19_K 94_G 0.60 0.02
13_E 93_E 0.59 0.01
161_R 56_T 0.59 0.01
15_V 76_R 0.58 0.01
184_E 70_L 0.58 0.01
197_L 75_D 0.58 0.01
154_I 81_V 0.57 0.01
210_L 8_I 0.57 0.01
128_L 80_I 0.57 0.01
143_A 22_A 0.56 0.01
225_I 52_V 0.56 0.01
124_V 61_G 0.56 0.01
104_I 19_A 0.56 0.01
158_K 54_V 0.56 0.01
76_L 13_L 0.55 0.01
216_T 20_G 0.55 0.01
51_D 44_E 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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