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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: MNMA_MYCS2 (A0QUW3)

Summary

This is the summary of UniProt entry MNMA_MYCS2 (A0QUW3).

Description: tRNA-specific 2-thiouridylase MnmA {ECO:0000255|HAMAP-Rule:MF_00144}
Source organism: Mycolicibacterium smegmatis (strain ATCC 700084 / mc(2)155) (Mycobacterium smegmatis) (NCBI taxonomy ID 246196)
Length: 356 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 tRNA_Me_trans 1 197
sig_p n/a 1 17
disorder n/a 175 180
Pfam tRNA_Me_trans_M 201 268
disorder n/a 240 241
disorder n/a 251 255
disorder n/a 257 260
disorder n/a 268 271
Pfam tRNA_Me_trans_C 274 353
disorder n/a 282 290
disorder n/a 294 301
disorder n/a 331 341
disorder n/a 347 353

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession A0QUW3. 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
MRVLVAMSGG VDSSVAAARM VDAGHDVVGV HLALSSAPGT LRTGSRGCCS
50
51
KEDASDARRV ADILGIPFYV WDFADRFKDD VIDDFVESYA RGETPNPCVR
100
101
CNERIKFSAL AARALALGFD AVATGHYARL SDGRLRRAVD ADKDQSYVLG
150
151
VLTAEQLRHA LFPIGDTPKP QIRAEAAERG LAVAEKPDSH DICFIPTGDT
200
201
KAFLGARIGV RPGAVVDGSG TVLAEHDGVH GFTIGQRKGL GIAGPGADGR
250
251
PRYVTAIDAE TGTVRVGPAE DLEVWELTGE RPVFTSGVEP GGPIECQVQV
300
301
RAHGGITDTV AELRDGKLEL SLRAPLRGVA PGQTMVLYRP DPDGDEVIAS
350
351
ATITRR                                                
356
 

Show the unformatted sequence.

Checksums:
CRC64:B0045AEE0261A81C
MD5:01d60b2974a7ca16328f7df6443e5905

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;