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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: A0A2R8Q097_DANRE (A0A2R8Q097)

Summary

This is the summary of UniProt entry A0A2R8Q097_DANRE (A0A2R8Q097).

Description: Eukaryotic translation elongation factor 1 beta 2 {ECO:0000313|Ensembl:ENSDARP00000145801}
Source organism: Danio rerio (Zebrafish) (Brachydanio rerio) (NCBI taxonomy ID 7955)
Length: 905 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 34
Pfam zf-DBF 38 73
disorder n/a 61 66
disorder n/a 69 70
disorder n/a 80 82
disorder n/a 84 109
disorder n/a 123 125
disorder n/a 127 279
low_complexity n/a 218 229
disorder n/a 281 286
disorder n/a 293 294
disorder n/a 301 305
disorder n/a 308 309
disorder n/a 311 312
disorder n/a 337 347
disorder n/a 351 353
disorder n/a 357 361
disorder n/a 392 417
disorder n/a 467 500
low_complexity n/a 469 480
disorder n/a 504 512
disorder n/a 539 545
disorder n/a 548 575
disorder n/a 598 626
disorder n/a 628 632
disorder n/a 648 734
low_complexity n/a 687 702
low_complexity n/a 714 731
low_complexity n/a 729 745
disorder n/a 752 905
low_complexity n/a 858 870

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession A0A2R8Q097. 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
MPLGEGPKPS AKNAERRPTD ISGRTRREEP VAGPSSYQRQ GYCSCCQVLY
50
51
NSVEQHILSA QHREVVRASR ANVSSGSLLE RFLQDVLQHH PHHYSDTRPS
100
101
HADLPLLTTP LVPKEVLSEV YCGSDDDGVS VGTREEMPTS DEESCQMLQV
150
151
ATAGPAVTTD FTANTHLQTA SQKGKMVPEQ PPPEKYSPTQ GFLHRTSGSS
200
201
ANDKLHTSQF TLPVQRESSH THPSRHPPSE GAPVSKTGAV EHRKAHKKTN
250
251
RENEGSDTIK ASCAPPAAKC ITSKDQPETF RSVTEESTKW ISALPPWKGL
300
301
HREQTFSNLS DQIRDVIEEV IEKYCYGLNV DQQEEDGSFL FGPQSVSDSK
350
351
GSEEWDNAIQ VALGKTKGEE KNLAQLLEVH IDLEDQTYQT QLDTALNTVG
400
401
TPEEPKQNAE DNVIPDLPHI PQSFVGKTWT QVMFEDDIKI DSIVREFQQG
450
451
QFRCYFDSES LAMYGKHCKK RRKNKKRDNK EQTETVELNP TDILPLIEHN
500
501
EEDPKHSAVL VRKTRQKYYR QASRCQVVKV SHGTQTIPLS CPMVRSKPTQ
550
551
ETFPSTYNDE PQQCPSPERT PEMKTRLCAL KLPTSYCKIM SPLQPKTVVY
600
601
VLSSPDGGQG ISKPTPIKKA GRKRKSCDSD GGLKYKYKKT PLKFYDPLTN
650
651
RILKSPPKGM SSPPNSKSLS HVRQLFRSLS PDINKERQGQ SPGSSRKGRG
700
701
RRNMVDLCTT TSDSILESGG PSEPSSSLTS SRRAIFTRSS ISSRSCLLLG
750
751
HLTPSAHVDD SSKAHSHSCA GSSYKVGGME QEEHIQQTSV DQTPIRRSLR
800
801
RAGLLTPAKR PSAPPYRTKR KSAKQQRKVK SQGSLQRSVS SHISAECRTS
850
851
PRNKSPGRAS LRSSASSNLA IQPVITSSSK QINTMLSASQ QKRGRGRTAT
900
901
VHTAD                                                 
905
 

Show the unformatted sequence.

Checksums:
CRC64:6C53E2D0D077700F
MD5:d548c9ca1de51cbe8a89729ab96d91f9

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;