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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: A0A1D6N2M1_MAIZE (A0A1D6N2M1)

Summary

This is the summary of UniProt entry A0A1D6N2M1_MAIZE (A0A1D6N2M1).

Description: CDC5 protein {ECO:0000313|EMBL:ONM34962.1}
Source organism: Zea mays (Maize) (NCBI taxonomy ID 4577)
Length: 925 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
Pfam Myb_DNA-bind_6 10 70
Pfam Myb_DNA-bind_6 62 119
coiled_coil n/a 96 116
disorder n/a 113 469
low_complexity n/a 164 182
coiled_coil n/a 167 187
Pfam Myb_Cef 406 657
disorder n/a 472 479
disorder n/a 481 537
low_complexity n/a 497 510
coiled_coil n/a 512 532
low_complexity n/a 514 531
disorder n/a 550 554
disorder n/a 560 577
disorder n/a 579 582
low_complexity n/a 579 590
disorder n/a 592 628
low_complexity n/a 601 614
disorder n/a 630 632
coiled_coil n/a 691 718
disorder n/a 696 697
disorder n/a 702 703
disorder n/a 705 707
disorder n/a 768 770
coiled_coil n/a 769 789
disorder n/a 780 781
disorder n/a 783 785
disorder n/a 796 801
coiled_coil n/a 797 817
disorder n/a 804 925
low_complexity n/a 813 839
low_complexity n/a 837 852
low_complexity n/a 894 902

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession A0A1D6N2M1. 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
MRIMIKGGVW KNTEDEILKA AVMKYGKNQW ARISSLLVRK SAKQCKARWY
50
51
EWLDPSIKKT EWTREEDEKL LHLAKLMPTQ WRTIAPIVGR TPSQCLERYE
100
101
KLLDAACAKD ENYEANDDPR KLRPGEIDPN PESKPARPDP VDMDEDEKEM
150
151
LSEARARLAN TRGKKAKRKA REKQLEEARR LASLQKRREL KAAGIDTRHR
200
201
KRKRKGIDYN AEIPFEKRPP SGFYDTVGED RPPEHVQFPT TIEELEGKRR
250
251
ADIEAQLRKQ DIARNKILQR QDAPAAIMQA NKLNDPEAVT KRSKLMLPPP
300
301
QISDHELEEI AKMGSAGDPA LADELGEGST ATRTLLASYS QTPRLGMTPL
350
351
RTPQRTPAGK GDAIMMEAEN LARLRESQTP LLGGDNPELH PSDFSGVTPR
400
401
KKEIQTPNPM ATPLASPGPG ITPRISMTPS REGHSFGLTP KATPLRDELN
450
451
INEVEMQDNT KLELRRQAEL RKSLRSGFAS IPQPKNEYQI VMPPITEDEK
500
501
EEAEEKIEED MSDRLARERA EEQARHEALL RKRSKVLQRS LPRPPAVSVE
550
551
IIRQSLIRSG ESRSRSTFMP PTSLEQADEL INEELLRLLE HDNAKYPLDE
600
601
KTQKEKKKGS KRQQNGGPLV PEIDDFDEDE LKEASSMVEE EIQYLRVAMG
650
651
HENESFEDFV KAHDACQDDL MFFPTSNSYG LASVAGNADK ISALQNEFET
700
701
VKKRMDDEAK KASRLEQKIK LLTQGYQIRA GKLWSQVQDT FKQMDTAATE
750
751
LECFQELQKQ EHLAASYRIQ NLSEEVSKQK ALERTLQSRY GELVSGFQRI
800
801
QEQVEEHKRQ LKVQEAVEAE SHAQEEEAAA SNHAAAEEED ERKEDDERKE
850
851
EDGRKSLSSE EKPQQTSTAT DEEPAGSKGT TEDQMDVDSG NGEGGVVGPV
900
901
PPAPDTEGGN DEVSVQEISE AQPLP                           
925
 

Show the unformatted sequence.

Checksums:
CRC64:EC2FDA871CF4A756
MD5:ed01fd5416590c373781d9779844578c

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;