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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: A0A1D6JBB9_MAIZE (A0A1D6JBB9)

Summary

This is the summary of UniProt entry A0A1D6JBB9_MAIZE (A0A1D6JBB9).

Description: Metal-nicotianamine transporter YSL2 {ECO:0000313|EMBL:AQK45182.1}
Source organism: Zea mays (Maize) (NCBI taxonomy ID 4577)
Length: 705 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
low_complexity n/a 10 17
disorder n/a 34 71
low_complexity n/a 52 75
Pfam OPT 76 689
transmembrane n/a 82 101
transmembrane n/a 107 124
transmembrane n/a 145 167
low_complexity n/a 157 169
transmembrane n/a 193 215
low_complexity n/a 207 220
transmembrane n/a 256 275
transmembrane n/a 287 307
transmembrane n/a 314 334
transmembrane n/a 354 382
transmembrane n/a 422 442
transmembrane n/a 448 468
low_complexity n/a 449 458
transmembrane n/a 475 492
low_complexity n/a 497 508
transmembrane n/a 498 519
transmembrane n/a 540 560
transmembrane n/a 572 589
transmembrane n/a 596 613
low_complexity n/a 609 630
transmembrane n/a 633 656
transmembrane n/a 663 683

Show or hide domain scores.

Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession A0A1D6JBB9. 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
MNSHLRLHTA AAAAAAAVSE LELLVPRGRG AGAMDQLRPE PAAGAHEIEK
50
51
TAAPDVESEP AAAVPEPERV PPWREQVTAR GMVAALLIGF VYTVIVMKLS
100
101
LTTGLTPTMN VSAALLAFLA LRGWTRALGR LGIACRPFTR QENTVVQTCV
150
151
VACYTIGFGG GFGSFLLGLD KKTYELSGVS TPGNVPGSYR EPAIGWMTGF
200
201
LLAVSFVGLL TLLPLRKVLV IDYKLTYPSG TATAVLINGF HTPQGDKNAK
250
251
IQVRGFLKYF GISFLWSFFQ WFYTAGDHCG FAQFPTFGLQ AFNQTFSFDF
300
301
SLTYVGAGMI CSHLVNLSLL FGAVVSWGVM WPLIGKQKGN WYPADASQNS
350
351
MTGIYGYKAF LCIALLVGDG LYNFVKVIAI TVKNIRERSR RKNLNRVADA
400
401
DTMALDDMQR DEVFNRDNIP TWLSYAGYAA LSLIAVIAIP IMFREVRWYY
450
451
VVVAYALAPA LGFCNAYGTG LTDMNMGYNY GKVALFVLAA WAGKDSGVVA
500
501
GLVGCGLVKQ LVLVSADLMH DFKTGHLTLT SPRSMLVGQA VGTLMGCVLA
550
551
PLTFMLFYRA FDVGEPDGYW KAPYALIYRN MAILGVEGFS ALPRHCLQLC
600
601
AGFFAFAVLA NLARDLLPRR LARLVPLPMA MAVPFLVGAS FAVDMCVGSL
650
651
VVFAWHKLDG KKAALLVPAV ASGLICGDGI WTFPSSLLAL AKVKPPICMK
700
701
FTPGS                                                 
705
 

Show the unformatted sequence.

Checksums:
CRC64:409DE87648AA3F95
MD5:867ad74b375d98944a78f01147e7e6da

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;