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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: K0EY57_9NOCA (K0EY57)

Summary

This is the summary of UniProt entry K0EY57_9NOCA (K0EY57).

Description: Agmatine deiminase {ECO:0000313|EMBL:AFU02452.1}
Source organism: Nocardia brasiliensis ATCC 700358 (NCBI taxonomy ID 1133849)
Length: 342 amino acids
Reference Proteome: ✓

Please note: when we start each new Pfam data release, we take a copy of the UniProt sequence database. This snapshot of UniProt forms the basis of the overview that you see here. It is important to note that, although some UniProt entries may be removed after a Pfam release, these entries will not be removed from Pfam until the next Pfam data release.

Pfam domains

Download the data used to generate the domain graphic in JSON format.

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Source Domain Start End
disorder n/a 2 3
Pfam PAD_porph 4 338
disorder n/a 169 170
disorder n/a 209 211

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession K0EY57. This sequence is stored in the Pfam database and updated with each new Pfam release, but this means that the sequence we store may differ from that stored by UniProt.

Sequence:
1
MSWVMPSETA PQERIWMAFP PLGASVFATA ESAHEAREAW ARVAHEILEF
50
51
EPVTMVVDPR DRQAARKYLS DMVDVLEAPL DDAWMRDIGP SFVLDADSGR
100
101
LGAVDWTFNG WGRQEWANWA RDSEIGATVA RAAGAETVGS KLVNEGGGIQ
150
151
VDGLGTVLVT ETVQLDPMRN PGLDKAAVEA ELARTIGARH VIWLPRGLTR
200
201
DNEQHGTRGH VDIVAAIPAP GTLLVHAQRD AAHPDWAVTR ELLALLPDTT
250
251
DAGGRAWEIV ELPAPRVLRD REGWVDYSYI NHLVVNDGVI ACGFGDPNDG
300
301
VAQGILAEMY PGRQVRTVDA REFFARGGGI HCITQQQPRV LD        
342
 

Show the unformatted sequence.

Checksums:
CRC64:5E3C1EAA975E995E
MD5:089add803a258cbd9cec452fb1a05ba5

AlphaFold Structure Prediction

The protein structure below has been predicted by DeepMind with AlphaFold. For more information, please visit the AlphaFold page for this protein.

Model confidence scale

  Very High (pLDDT > 90)
  Confident (90 > pLDDT > 70)
  Low (70 > pLDDT > 50)
  Very Low (pLDDT < 50)
Highly accurate protein structure prediction with AlphaFold. John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Žídek, Anna Potapenko, Alex Bridgland, Clemens Meyer, Simon A. A. Kohl, Andrew J. Ballard, Andrew Cowie, Bernardino Romera-Paredes, Stanislav Nikolov, Rishub Jain, Jonas Adler, Trevor Back, Stig Petersen, David Reiman, Ellen Clancy, Michal Zielinski, Martin Steinegger, Michalina Pacholska, Tamas Berghammer, Sebastian Bodenstein, David Silver, Oriol Vinyals, Andrew W. Senior, Koray Kavukcuoglu, Pushmeet Kohli & Demis Hassabis Nature 2021-07-15; DOI: 10.1038/s41586-021-03819-2;