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OPENSEQ.org
L25 - S17
UniProt: Q5SHZ1 - Q5SHP7
Length: 311
Sequences: 1233
Seq/Len: 4.60
I_Prob: 0.01
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.
3v2c3v2cQ 3v2dZ 3v2eQ 3v2fZContact Map
2j002j00Q 2j01Z 2j02Q 2j03ZContact Map
4juw4juwQ 4juxZContact Map
4kix4kixV 4kiyQ 4kizV 4kj0Q 4kj1V 4kj2Q 4kj3V 4kj4QContact Map
4kj54kj5V 4kj6Q 4kj7V 4kj8Q 4kj9V 4kjaQ 4kjbV 4kjcQContact Map
3uyd3uydT 3uyeV 3uyfT 3uygVContact Map
4gd13r8sV 3r8tV 4gd1Q 4gd2QContact Map
3knh3knhQ 3kniZ 3knjQ 3knkZContact Map
3ohc3ohcQ 3ohdQ 3ohjZ 3ohkZContact Map
3ohy3ohyQ 3ohzZ 3oi0Q 3oi1ZContact Map


 Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
62_P 7_T 0.91 0.01
56_V 7_T 0.89 0.01
71_V 7_T 0.79 0.00
91_L 30_P 0.78 0.00
15_P 33_G 0.78 0.00
70_L 65_I 0.77 0.00
155_L 50_K 0.77 0.00
34_N 26_Q 0.73 0.00
74_V 51_Y 0.73 0.00
107_T 44_A 0.72 0.00
48_F 36_I 0.70 0.00
120_I 42_Y 0.68 0.00
120_I 62_S 0.68 0.00
144_L 48_E 0.67 0.00
149_S 36_I 0.66 0.00
28_M 60_I 0.66 0.00
84_E 63_R 0.66 0.00
43_E 60_I 0.65 0.00
154_D 49_E 0.65 0.00
66_S 77_V 0.64 0.00
42_V 67_K 0.64 0.00
86_V 48_E 0.63 0.00
126_V 32_Y 0.63 0.00
167_P 76_L 0.62 0.00
156_K 52_K 0.62 0.00
171_I 63_R 0.62 0.00
172_A 18_T 0.61 0.00
175_V 60_I 0.61 0.00
7_A 41_K 0.61 0.00
168_E 31_L 0.60 0.00
24_L 19_V 0.60 0.00
41_L 71_F 0.60 0.00
105_V 56_V 0.59 0.00
140_D 38_R 0.58 0.00
126_V 3_K 0.58 0.00
54_H 43_L 0.58 0.00
50_Q 68_R 0.58 0.00
129_S 13_D 0.57 0.00
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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