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: TKT2_YEAST (P33315)

Summary

This is the summary of UniProt entry TKT2_YEAST (P33315).

Description: Transketolase 2 EC=2.2.1.1
Source organism: Saccharomyces cerevisiae (strain ATCC 204508 / S288c) (Baker's yeast) (NCBI taxonomy ID 559292)
Length: 681 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 Transketolase_N 7 339
disorder n/a 98 99
disorder n/a 104 110
disorder n/a 230 231
disorder n/a 327 337
disorder n/a 341 345
disorder n/a 349 354
Pfam Transket_pyr 354 533
disorder n/a 476 478
disorder n/a 485 486
Pfam Transketolase_C 546 657

Show or hide domain scores.

Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession P33315. 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
MAQFSDIDKL AVSTLRLLSV DQVESAQSGH PGAPLGLAPV AHVIFKQLRC
50
51
NPNNEHWINR DRFVLSNGHS CALLYSMLHL LGYDYSIEDL RQFRQVNSRT
100
101
PGHPEFHSAG VEITSGPLGQ GISNAVGMAI AQANFAATYN EDGFPISDSY
150
151
TFAIVGDGCL QEGVSSETSS LAGHLQLGNL ITFYDSNSIS IDGKTSYSFD
200
201
EDVLKRYEAY GWEVMEVDKG DDDMESISSA LEKAKLSKDK PTIIKVTTTI
250
251
GFGSLQQGTA GVHGSALKAD DVKQLKKRWG FDPNKSFVVP QEVYDYYKKT
300
301
VVEPGQKLNE EWDRMFEEYK TKFPEKGKEL QRRLNGELPE GWEKHLPKFT
350
351
PDDDALATRK TSQQVLTNMV QVLPELIGGS ADLTPSNLTR WEGAVDFQPP
400
401
ITQLGNYAGR YIRYGVREHG MGAIMNGISA FGANYKPYGG TFLNFVSYAA
450
451
GAVRLAALSG NPVIWVATHD SIGLGEDGPT HQPIETLAHL RAIPNMHVWR
500
501
PADGNETSAA YYSAIKSGRT PSVVALSRQN LPQLEHSSFE KALKGGYVIH
550
551
DVENPDIILV STGSEVSISI DAAKKLYDTK KIKARVVSLP DFYTFDRQSE
600
601
EYRFSVLPDG VPIMSFEVLA TSSWGKYAHQ SFGLDEFGRS GKGPEIYKLF
650
651
DFTADGVASR AEKTINYYKG KQLLSPMGRA F                    
681
 

Show the unformatted sequence.

Checksums:
CRC64:84D7477916D136D5
MD5:bee26d592b76e3a406b0570aade34704

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;