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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: A0A1D6NSH0_MAIZE (A0A1D6NSH0)

Summary

This is the summary of UniProt entry A0A1D6NSH0_MAIZE (A0A1D6NSH0).

Description: Transcription elongation factor SPT5 {ECO:0000256|PIRNR:PIRNR036945}
Source organism: Zea mays (Maize) (NCBI taxonomy ID 4577)
Length: 1078 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
disorder n/a 1 165
low_complexity n/a 7 39
low_complexity n/a 41 62
low_complexity n/a 73 101
Pfam Spt5_N 97 184
low_complexity n/a 99 119
coiled_coil n/a 144 164
low_complexity n/a 144 156
disorder n/a 167 170
low_complexity n/a 172 181
disorder n/a 173 175
disorder n/a 178 179
Pfam Spt5-NGN 190 271
low_complexity n/a 235 246
low_complexity n/a 300 312
Pfam KOW 486 528
transmembrane n/a 628 651
transmembrane n/a 663 682
disorder n/a 732 740
low_complexity n/a 738 749
disorder n/a 795 796
disorder n/a 798 962
low_complexity n/a 943 954

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession A0A1D6NSH0. 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
MARRGHDDDD DEVDEEEEED AYDLDDDEDE DEEDDYEEET RRGKASRGGG
50
51
GAKSGGGRKR SREDNFIDDS AIEDEDDEDD DGGGRPRKKG GGGVRGFFDE
100
101
EAQVDEDEEE EDEGEGEDDF INDAGADLPD EDVVRGSRRH SIPMRDEEED
150
151
IDEMERQVRE RYARSTHIEY GEEAAEVEQQ ALLPSVKDPK LWMVKCAIGH
200
201
ERETAICLMQ KFIDRSDLQI KSVVALDHLK NYIYVEAEKE AHVKEACKGL
250
251
RNIYASAKIT LVPIKEMADV LSVESKSVDL SRDSWVRMKL GIYKGDLAKV
300
301
VDVDNVRQRV DVKLIPRIDL QALASKLEGR DIVKKKAFVP PPRFFNIDEA
350
351
REMHIRVERR RDKESGEYFE WVDNLKFKDG FLYKSVSTKS IHKSNIQPTF
400
401
DELEKFKKPG DDMNGDMASL STLFANRKKG HFMKGDAVIV IKGDLKNLEG
450
451
WVEKVEDETV HIRPKISDLP KTLAFNEKEL CKYFKPGDHV KVISGVQEGA
500
501
TGMVVKVEGH VLIILSDTTK EHIRVFADHV VESSEITTGI TRIGDYELHD
550
551
LVLLDNLSFG VIIRVEAEAF QVLKGVPDRP EVVLVKLREI KSKIERRSSA
600
601
KDRSNNIISA KDVVRVVEGA CKVCPSSVMI LVGCFDSCLS VTFIVFTSMF
650
651
CQIRGNKDLW NTYTRGCCLS MTGITLNMQV LFVQKRNLAF LLVDQLVAVE
700
701
EMFGMDTADA RLDALRSSAS ILQSPGRLPP RGPNMNYGGR FGGGRGGRGY
750
751
DALVGKCIKI KSGPYKGYRG RVKEVTGALV RVELDSLMKI VTVKRDDIAD
800
801
TPTVATPFRE PRYSLGGETP MHPSRTPHHA YQTPMRDPGA TPIHDGMRTP
850
851
MRSRAWAPMS PPRDNWEDGN PATWGSSPAY QPGTPQARPY EAPTPGSGWA
900
901
NTPGVSFNDA PTPRDNYANA PSPYVPSTPV GQPMTPNSAS YLPGTPGGQP
950
951
MTPGNAGMDM LSPIIGGDGE VAWLLPDVLV NVLRGGDDGP GVVREVLGDG
1000
1001
SCRVALGSSG NGDVVTVLAN EVEVIRPKKS DRIKILNGNF RGYTGKLIGI
1050
1051
DGSDGIVRLD ETYEVKILDM VILAKLAT                        
1078
 

Show the unformatted sequence.

Checksums:
CRC64:B014E2F58C8C50A2
MD5:0b3dd737a27efeb62b9d5ad8ddea29c8

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;