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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: A0A1D6FHB2_MAIZE (A0A1D6FHB2)

Summary

This is the summary of UniProt entry A0A1D6FHB2_MAIZE (A0A1D6FHB2).

Description: Putative metal-nicotianamine transporter YSL7 {ECO:0000313|EMBL:AQK91218.1}
Source organism: Zea mays (Maize) (NCBI taxonomy ID 4577)
Length: 697 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 1 28
low_complexity n/a 2 15
Pfam OPT 43 661
transmembrane n/a 44 62
transmembrane n/a 68 91
transmembrane n/a 111 129
transmembrane n/a 161 180
transmembrane n/a 268 298
transmembrane n/a 323 343
low_complexity n/a 350 365
disorder n/a 352 366
transmembrane n/a 389 407
transmembrane n/a 413 435
transmembrane n/a 447 478
low_complexity n/a 461 478
transmembrane n/a 498 522
transmembrane n/a 566 588
low_complexity n/a 574 588
transmembrane n/a 600 627
transmembrane n/a 634 655

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession A0A1D6FHB2. 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
MGGGEHDHEP DEPEPARDKE HEHDEASVEA LFAGQSPAPW WRQVTVRSVT
50
51
ASVFVGAVFS FMSMRMGLTI GLVPSFNMSA SLVSFFVISS WTRLLGRCGV
100
101
ATQPFTRQEN VVVQTCVIAC ATLSLYGGFT SFLPAMSPPV AKSAGAPGTG
150
151
NNVYTLHLGK MMAFSFLTGF TSLFITLPLT KVMILDYKLL FPSGSAIAGL
200
201
VNSFHTPAGA ATAKLQIATL LRSLGGSFSW AVFQWFYTGG DGCGFQAFPL
250
251
FGLEAYKKRF YFDFSPSLVG IGMICPPMVN FSLLLGAVVS SAILWPILQG
300
301
KRGEWYDADA SPSSLRGLNG YKVPMGISLV LGDCLFQLAA VSIRAARGFH
350
351
HRRQHQQDED DGGQQSLSYD DRRRIHNFQS EGMPTHVSLA GYAILAGIAT
400
401
VFLPGIFPQI RFYHVAVCYA MAPLLAFCSS YASGLTDWSL GTIYGKLAIF
450
451
IFGAWVGEAS GGAIAGLVAG GVVVVVIGNS SELMHDFKSA YLTLTSPLSM
500
501
FASQVIGTTL GCILNPLLFL GFQEMAGGAD HLGEAGSLYA APMAMAYRGI
550
551
ADLSVEGIKT LPRHSVMLCV PCFLVALCVD ALAAVAAANG WRIKGYVPNI
600
601
MAMAIPFFVG PTFAIDMCLG SLLVILWRRR NKQAANLLSV VVASGLICGD
650
651
GLWALPSSLL AIFKVEPPMC MKFLSNYQTE QMRKHLILAA AARRRTS   
697
 

Show the unformatted sequence.

Checksums:
CRC64:BC74CEC4E4A592C9
MD5:caacc41941263d4688b145833b4af1c6

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;