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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: Q59TA2_CANAL (Q59TA2)

Summary

This is the summary of UniProt entry Q59TA2_CANAL (Q59TA2).

Description: Signal recognition particle subunit {ECO:0000313|EMBL:AOW25881.1}
Source organism: Candida albicans (strain SC5314 / ATCC MYA-2876) (Yeast) (NCBI taxonomy ID 237561)
Length: 168 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 SRP9-21 4 98
low_complexity n/a 23 32
low_complexity n/a 28 53
disorder n/a 29 54
disorder n/a 58 61
disorder n/a 77 78
disorder n/a 87 89
disorder n/a 101 103
disorder n/a 114 168
low_complexity n/a 147 168

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession Q59TA2. 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
MPKVTSIEKF IELSTDLLAN YPTTTTLSTT YTNVSKKSKK STSESAATSK
50
51
PKSNKISTHA VSFKLYEPNS GKCIRYTTTK SKELSRLLNF IGPKGLTNDN
100
101
LHVVGLAGLM TNVKYEKPIE PSLENTPIPE SENLATKEIE QNKPDAKEEK
150
151
TTTTTSSKKK NKKKKKKN                                   
168
 

Show the unformatted sequence.

Checksums:
CRC64:591574C6AF3EC217
MD5:543705b4b668a03d98adcf7f04ec321f

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;