!!

Powering down the Pfam website
On October 5th, we will start redirecting the traffic from Pfam (pfam.xfam.org) to InterPro (www.ebi.ac.uk/interpro). The Pfam website will be available at legacy.pfam.xfam.org until January 2023, when it will be decommissioned. You can read more about the sunset period in our blog post.

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: ATGT_METST (Q2NGY4)

Summary

This is the summary of UniProt entry ATGT_METST (Q2NGY4).

Description: tRNA-guanine(15) transglycosylase {ECO:0000255|HAMAP-Rule:MF_01634}
Source organism: Methanosphaera stadtmanae (strain ATCC 43021 / DSM 3091 / JCM 11832 / MCB-3) (NCBI taxonomy ID 339860)
Length: 674 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 TGT 14 337
low_complexity n/a 64 75
coiled_coil n/a 134 154
low_complexity n/a 422 436
Pfam TGT_C2 521 595
Pfam PUA 597 669

Show or hide domain scores.

Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession Q2NGY4. 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
MVDIIVDFEI KYKDAMARVG KFKTPHGTVT TPALMPVVHP GKQTLDVKKL
50
51
GAQIVITNSY IIYKNEELKK KALEEGVHSL IDFPNTIETD SGSFQLSVYG
100
101
DIDITNEEVI KFQEAIKTDI GTSLDIPTAP YVKREEAEND LEITIERAKE
150
151
AANVKSDLLL NSVVQGSTFP DLREKCAKEI SKYDADIYPI GAVVPLMEMY
200
201
RYADLVDAVM YSMRGLPENK PRHLMGAGHP MVFALATAMG CDLFDSAAYI
250
251
LYANKDRFMM PDGTLRLEDL IEMPCSCRVC CEYTVDELKQ MDQKKRAKLI
300
301
AEHNLHISFA EIRRIRQAIV DGELMKLVEL RCRSHPFLLD GLRRLMEYKE
350
351
DMERLNPSSK KSAFFYTGYE SLARSEVPKH LKQLENIKPK NKNLVILPHT
400
401
RKPYTKYVNR EYIKKYTPKI PTYYSNTTNT DYSNSDVVVA DIPFGIIPLG
450
451
LDEFYPLAQN ESPSIHDLDS KRFIRDIINN YSKKYDNVLI HRKVIEKFDI
500
501
TNFNLIEDEL QLPEAKISDF NRLNDIADYQ FGCGAGNALF GGDEDKITIE
550
551
KSRKTKKIRH VFEDNENIVN MRANDGFLIL SDLGAKRLHK FLEYPHNRVV
600
601
VSEDSEPFAL KGKSVFNKFV LDCDENIRRN DEVLIVNKDD KLLAFGKALL
650
651
SSYEIKDFNT GQAIKTRKWK KEIE                            
674
 

Show the unformatted sequence.

Checksums:
CRC64:8FCDBB37860542D6
MD5:7efec70150317577687eac0551402d23

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;