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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: DFFB_RAT (Q99N34)

Summary

This is the summary of UniProt entry DFFB_RAT (Q99N34).

Description: DNA fragmentation factor subunit beta EC=3.-.-.-
Source organism: Rattus norvegicus (Rat) (NCBI taxonomy ID 10116)
Length: 349 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

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Source Domain Start End
Pfam CIDE-N 8 82
Pfam DFF40 103 324
disorder n/a 318 349
low_complexity n/a 330 349

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession Q99N34. 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
MCAVLPQPKC VKLRALHSSC KFGVAARSCQ ELLRKGCIRF QLPVPGSRLC
50
51
MYEDGTEVTD DCFPSLPNDS ELLLLTAGET WHGYVSDITR LLSVFNEPHA
100
101
GVIQAARQLL SDEQAPLRQK LLADLLHHVS QNITAETREQ DPSWFEGLES
150
151
RFRNKSGYLR YSCESRIRGY LREVSAYISM VDAAAREEYL RVLSSMCHKL
200
201
KSVQYNGSYF DRGAEASSRL CTPEGWFSCQ GPFDLESCLS KHSINPYGNR
250
251
ESRILFSTWN LDHIIEKKRT VVPTLAEAIQ DGREVNWEYF YSLLFTAENL
300
301
KLVHIACHKK TTHKLQCDRS RIYRPQTGSR RKQPPRKQPP RKRPPRKRQ 
349
 

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Checksums:
CRC64:F125972A110FE398
MD5:2e7867279a4106c08559673b13399aca

TreeFam

Below is a phylogenetic tree of animal genes, with ortholog and paralog assignments, from TreeFam.

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;