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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: PYC2_YEAST (P32327)

Summary

This is the summary of UniProt entry PYC2_YEAST (P32327).

Description: Pyruvate carboxylase 2 EC=6.4.1.1
Source organism: Saccharomyces cerevisiae (strain ATCC 204508 / S288c) (Baker's yeast) (NCBI taxonomy ID 559292)
Length: 1180 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 Biotin_carb_N 19 131
Pfam CPSase_L_D2 136 345
disorder n/a 145 147
disorder n/a 149 150
disorder n/a 152 156
low_complexity n/a 183 198
low_complexity n/a 337 349
Pfam Biotin_carb_C 360 468
disorder n/a 374 377
Pfam HMGL-like 558 830
low_complexity n/a 682 699
Pfam PYC_OADA 852 1052
disorder n/a 852 853
disorder n/a 1090 1097
Pfam Biotin_lipoyl 1102 1169
low_complexity n/a 1165 1172
disorder n/a 1177 1180

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession P32327. 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
MSSSKKLAGL RDNFSLLGEK NKILVANRGE IPIRIFRSAH ELSMRTIAIY
50
51
SHEDRLSMHR LKADEAYVIG EEGQYTPVGA YLAMDEIIEI AKKHKVDFIH
100
101
PGYGFLSENS EFADKVVKAG ITWIGPPAEV IDSVGDKVSA RHLAARANVP
150
151
TVPGTPGPIE TVQEALDFVN EYGYPVIIKA AFGGGGRGMR VVREGDDVAD
200
201
AFQRATSEAR TAFGNGTCFV ERFLDKPKHI EVQLLADNHG NVVHLFERDC
250
251
SVQRRHQKVV EVAPAKTLPR EVRDAILTDA VKLAKVCGYR NAGTAEFLVD
300
301
NQNRHYFIEI NPRIQVEHTI TEEITGIDIV SAQIQIAAGA TLTQLGLLQD
350
351
KITTRGFSIQ CRITTEDPSK NFQPDTGRLE VYRSAGGNGV RLDGGNAYAG
400
401
ATISPHYDSM LVKCSCSGST YEIVRRKMIR ALIEFRIRGV KTNIPFLLTL
450
451
LTNPVFIEGT YWTTFIDDTP QLFQMVSSQN RAQKLLHYLA DLAVNGSSIK
500
501
GQIGLPKLKS NPSVPHLHDA QGNVINVTKS APPSGWRQVL LEKGPSEFAK
550
551
QVRQFNGTLL MDTTWRDAHQ SLLATRVRTH DLATIAPTTA HALAGAFALE
600
601
CWGGATFDVA MRFLHEDPWE RLRKLRSLVP NIPFQMLLRG ANGVAYSSLP
650
651
DNAIDHFVKQ AKDNGVDIFR VFDALNDLEQ LKVGVNAVKK AGGVVEATVC
700
701
YSGDMLQPGK KYNLDYYLEV VEKIVQMGTH ILGIKDMAGT MKPAAAKLLI
750
751
GSLRTRYPDL PIHVHSHDSA GTAVASMTAC ALAGADVVDV AINSMSGLTS
800
801
QPSINALLAS LEGNIDTGIN VEHVRELDAY WAEMRLLYSC FEADLKGPDP
850
851
EVYQHEIPGG QLTNLLFQAQ QLGLGEQWAE TKRAYREANY LLGDIVKVTP
900
901
TSKVVGDLAQ FMVSNKLTSD DIRRLANSLD FPDSVMDFFE GLIGQPYGGF
950
951
PEPLRSDVLR NKRRKLTCRP GLELEPFDLE KIREDLQNRF GDIDECDVAS
1000
1001
YNMYPRVYED FQKIRETYGD LSVLPTKNFL APAEPDEEIE VTIEQGKTLI
1050
1051
IKLQAVGDLN KKTGQREVYF ELNGELRKIR VADKSQNIQS VAKPKADVHD
1100
1101
THQIGAPMAG VIIEVKVHKG SLVKKGESIA VLSAMKMEMV VSSPADGQVK
1150
1151
DVFIKDGESV DASDLLVVLE EETLPPSQKK                      
1180
 

Show the unformatted sequence.

Checksums:
CRC64:AD60DA3A60F5E001
MD5:708e523fefd6c1c029e5b582281ca923

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;