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DLDH - YADG
UniProt: P0A9P0 - P36879
Length: 782
Sequences: 482
Seq/Len: 0.63
I_Prob: 0.00

DLDH - Dihydrolipoyl dehydrogenase
Paralog alert: 0.89 [within 20: 0.08] - ratio of genomes with paralogs
Cluster includes: DHNA DLDH GSHR HCAD NORW STHA TRXB YKGC
YADG - Uncharacterized ABC transporter ATP-binding protein YadG
Paralog alert: 0.89 [within 20: 0.15] - ratio of genomes with paralogs
Cluster includes: ARTP BTUD CCMA CYSA DDPD DDPF DPPD DPPF FBPC FECE FEPC FHUC FTSE GLNQ GLTL HISP LIVF LIVG LOLD LPTB MALK METN MLAF MODC NIKD NIKE OPPD OPPF PHNC PHNK PHNL POTA POTG PROV PSTB SAPD SAPF SSUB SUFC TAUB THIQ UGPC YADG YBBA YBBL YCJV YDCT YECC YEHX YHDZ YNJD ZNUC
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.
2bcgG:YContact Map


Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
399_L 23_G 1.02 0.00
352_Y 142_K 0.89 0.00
298_D 9_Q 0.88 0.00
171_L 37_L 0.83 0.00
251_T 45_S 0.82 0.00
11_V 89_F 0.81 0.00
148_R 26_L 0.78 0.00
298_D 24_I 0.78 0.00
308_I 117_S 0.77 0.00
280_L 190_I 0.76 0.00
161_R 45_S 0.76 0.00
408_V 257_T 0.75 0.00
298_D 6_E 0.75 0.00
125_L 18_V 0.75 0.00
204_V 28_V 0.75 0.00
404_E 14_Y 0.75 0.00
12_L 4_A 0.74 0.00
12_L 10_L 0.74 0.00
284_K 14_Y 0.74 0.00
83_I 175_M 0.73 0.00
294_F 24_I 0.73 0.00
347_I 154_E 0.73 0.00
11_V 205_N 0.72 0.00
12_L 213_E 0.72 0.00
363_T 289_A 0.72 0.00
33_V 58_T 0.71 0.00
33_V 214_L 0.71 0.00
35_V 8_Q 0.70 0.00
164_D 179_L 0.70 0.00
25_C 28_V 0.69 0.00
249_Y 62_V 0.69 0.00
408_V 115_I 0.69 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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