!!

Powering down the Pfam website
On October 5th, we will start redirecting the traffic from Pfam (pfam.xfam.org) to InterPro (www.ebi.ac.uk/interpro). The Pfam website will be available at legacy.pfam.xfam.org until January 2023, when it will be decommissioned. You can read more about the sunset period in our blog post.

Please note: this site relies heavily on the use of javascript. Without a javascript-enabled browser, this site will not function correctly. Please enable javascript and reload the page, or switch to a different browser.
0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: ASTB_SHEWM (B1KNK9)

Summary

This is the summary of UniProt entry ASTB_SHEWM (B1KNK9).

Description: N-succinylarginine dihydrolase {ECO:0000255|HAMAP-Rule:MF_01172}
Source organism: Shewanella woodyi (strain ATCC 51908 / MS32) (NCBI taxonomy ID 392500)
Length: 445 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.

Show or hide the data used to generate the graphic in JSON format.

Source Domain Start End
Pfam AstB 2 444
low_complexity n/a 22 36
low_complexity n/a 39 53
disorder n/a 57 58
disorder n/a 63 64
disorder n/a 71 74
disorder n/a 112 115
disorder n/a 117 128
disorder n/a 159 174
disorder n/a 176 177
disorder n/a 197 199
disorder n/a 201 217

Show or hide domain scores.

Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession B1KNK9. 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
MKHFEANFDG LVGPTHNYAG LSFGNVASFS NASAVSDPKS AAKQGLKKAK
50
51
ALADMGMVQG MLAPQERPDL HTLRRIGFSG TDAEILNKAA KEAPALLRAC
100
101
CSASSMWTAN AATVSPSADT QDGKLHFTPA NLVDKLHRSI EPVTTGNILA
150
151
ATFNNSRHFS HHQHLPEHSS FGDEGAANHT RLCENYGNAG VELFVYGQEA
200
201
TNPNAPKPQK YPARQTLEAS QAIARLHGLS EENTVYLSQN PDVIDQGVFH
250
251
NDVIAVGNQN VLFYHQQAFL DTQNKFDEIQ QKFGDSKVHF IEVPTAKVSI
300
301
EDAVKSYLFN TQIITLPSGE MAIIAPTNCQ ENPAVFAYLN ELVTLGTPIK
350
351
QVNYFDVKQS MQNGGGPACL RLRVAMNDME LAAVNQNTLM NDALFTRLNA
400
401
WVDKHYRDRL SVDDLADPQL IIESRTALDE LTQIMKLGSV YQFQK     
445
 

Show the unformatted sequence.

Checksums:
CRC64:BA0089D020B1AF8C
MD5:5c1ca5cede9c71165d011291f6d43ab4

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;