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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: K0EJU3_9NOCA (K0EJU3)

Summary

This is the summary of UniProt entry K0EJU3_9NOCA (K0EJU3).

Description: Putative copper resistance transporter {ECO:0000313|EMBL:AFT99672.1}
Source organism: Nocardia brasiliensis ATCC 700358 (NCBI taxonomy ID 1133849)
Length: 685 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
disorder n/a 5 8
transmembrane n/a 21 50
low_complexity n/a 23 54
transmembrane n/a 70 90
transmembrane n/a 111 128
low_complexity n/a 113 123
transmembrane n/a 156 176
transmembrane n/a 183 202
transmembrane n/a 214 233
Pfam CopD 243 342
transmembrane n/a 245 270
transmembrane n/a 282 301
low_complexity n/a 285 298
low_complexity n/a 302 313
transmembrane n/a 321 342
low_complexity n/a 345 356
disorder n/a 349 351
transmembrane n/a 382 402
Pfam Caa3_CtaG 393 638
transmembrane n/a 414 436
transmembrane n/a 448 468
low_complexity n/a 466 483
transmembrane n/a 502 521
transmembrane n/a 533 552
transmembrane n/a 572 594
low_complexity n/a 596 608
transmembrane n/a 614 635
low_complexity n/a 641 663
disorder n/a 644 648
disorder n/a 674 685

Show or hide domain scores.

Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession K0EJU3. 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
MSSALDPSAS PDLESNRPAA TYAVVIALSA AIAAMVAALV VGLSAAQALS
50
51
LLGIPDPGAL TTYGLPAVRA LADLSAALTV GSLLFAAFMV PPQASGLLDV
100
101
GGYRAMRRAS NFALLWACCA ALLIPLTVSD TTGQPVRDTL DPVGLWRAID
150
151
QIELAGAWRT TVLFALIVAV GARLALRWGW TPVLFGAAIA TMMPLALTGH
200
201
SSSGGAHDVA TNSLILHLVS AAVWVGGLFA LLAHARRGGA HTDLAARRFS
250
251
LTATFAFVTI GVSGVINSWV RVPWDELFTS TYGRLVLAKA AALVLLGLFG
300
301
YAQRRAALPA LAADPKDRGA LIRFAGVEVL VFAATMGLAV GLGRTPPPPP
350
351
TSIPTPAEVE LGYNLAGPPT VARMLFDWRF DLIFGTLAIV LAIGYLLGVR
400
401
RLRARGDAWP IGRTIAWLSG CVVLLLATSS GVGRYAPAMF SVHMGAHMAL
450
451
SMLAPILFAL GGVVTLALRA LPPAGRGGAP GPREWILAAV HNPVSRFLTH
500
501
PIVASVIFVG GFYALYLGGI FDTFADSHGA HLLMNLHFLL SGYLFYWVVI
550
551
GIDPKPRQVE PLTKLAMVFG SLPFHAFFGI ALMSMTTVLG GWFYRGLGLG
600
601
WNGDLLGDQR TGGSLAWASG EVPLVVVMLA LLIQWSRSDK RLAQRTDRAA
650
651
DRDHDADLAA HNAMFAELAK RDRGTQKSAG DPAQP                
685
 

Show the unformatted sequence.

Checksums:
CRC64:8B6CF3EBA6273FD0
MD5:86cae84b4df1a24189b7e9f617cbf3dd

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;