Please note: this site relies heavily on the use of javascript. Without a javascript-enabled browser, this site will not function correctly. Please enable javascript and reload the page, or switch to a different browser.
0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: SNN_RAT (P61808)

Summary

This is the summary of UniProt entry SNN_RAT (P61808).

Description: Stannin
Source organism: Rattus norvegicus (Rat) (NCBI taxonomy ID 10116)
Length: 88 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.

Show or hide the data used to generate the graphic in JSON format.

Source Domain Start End
Pfam SNN_transmemb 2 33
low_complexity n/a 9 31
transmembrane n/a 12 36
Pfam SNN_linker 34 59
disorder n/a 47 49
Pfam SNN_cytoplasm 61 87

Show or hide domain scores.

Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession P61808. 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
MSIMDHSPTT GVVTVIVILI AIAALGALIL GCWCYLRLQR ISQSEDEESI
50
51
VGDGETKEPF LLVQYSAKGP CVERKAKLMT ANSPEVHG             
88
 

Show the unformatted sequence.

Checksums:
CRC64:EB8DA73323D816C5
MD5:7fbb621cddee25faa550a8a7aeee107c

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;