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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: RSME_DICD3 (P37995)

Summary

This is the summary of UniProt entry RSME_DICD3 (P37995).

Description: Ribosomal RNA small subunit methyltransferase E EC=2.1.1.193
Source organism: Dickeya dadantii (strain 3937) (Erwinia chrysanthemi (strain 3937)) (NCBI taxonomy ID 198628)
Length: 244 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 4 28
Pfam PUA_4 21 66
disorder n/a 66 69
Pfam Methyltrans_RNA 75 237
disorder n/a 78 83
low_complexity n/a 127 139
low_complexity n/a 223 236

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession P37995. 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
MRIPRIFHPD TLTPQGGETD LSEDAANHVG RVLRMSAGQA LQLFDGSNQV
50
51
FDAEIVQAGK KNVRVRYAAG QTENRESPLH LHLGQVMSRG EKMEFTIQKS
100
101
IELGVNVITP LLSERCGVKL DGERLEKKIA QWQKIAIAAC EQCGRNRVPE
150
151
IRPVQTLESW CAEPDNGLKL NLHPRAAHSI NTLPLPVSRI RLLIGPEGGL
200
201
SADEIAMTAT QGFTDILLGP RVLRTETTAL TAITALQVRF GDLG      
244
 

Show the unformatted sequence.

Checksums:
CRC64:DA3FB8610271B041
MD5:5dcd61c099379f8f5aaaedc1c424a787

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;