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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: PYC1_YEAST (P11154)

Summary

This is the summary of UniProt entry PYC1_YEAST (P11154).

Description: Pyruvate carboxylase 1 EC=6.4.1.1
Source organism: Saccharomyces cerevisiae (strain ATCC 204508 / S288c) (Baker's yeast) (NCBI taxonomy ID 559292)
Length: 1178 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 18 130
Pfam CPSase_L_D2 135 344
disorder n/a 144 146
disorder n/a 148 149
disorder n/a 151 155
low_complexity n/a 182 197
low_complexity n/a 325 339
Pfam Biotin_carb_C 359 467
disorder n/a 520 521
Pfam HMGL-like 557 829
low_complexity n/a 681 698
Pfam PYC_OADA 851 1051
disorder n/a 851 852
disorder n/a 1089 1093
Pfam Biotin_lipoyl 1101 1168
disorder n/a 1151 1153
low_complexity n/a 1159 1168

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession P11154. 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
MSQRKFAGLR DNFNLLGEKN KILVANRGEI PIRIFRTAHE LSMQTVAIYS
50
51
HEDRLSTHKQ KADEAYVIGE VGQYTPVGAY LAIDEIISIA QKHQVDFIHP
100
101
GYGFLSENSE FADKVVKAGI TWIGPPAEVI DSVGDKVSAR NLAAKANVPT
150
151
VPGTPGPIET VEEALDFVNE YGYPVIIKAA FGGGGRGMRV VREGDDVADA
200
201
FQRATSEART AFGNGTCFVE RFLDKPKHIE VQLLADNHGN VVHLFERDCS
250
251
VQRRHQKVVE VAPAKTLPRE VRDAILTDAV KLAKECGYRN AGTAEFLVDN
300
301
QNRHYFIEIN PRIQVEHTIT EEITGIDIVA AQIQIAAGAS LPQLGLFQDK
350
351
ITTRGFAIQC RITTEDPAKN FQPDTGRIEV YRSAGGNGVR LDGGNAYAGT
400
401
IISPHYDSML VKCSCSGSTY EIVRRKMIRA LIEFRIRGVK TNIPFLLTLL
450
451
TNPVFIEGTY WTTFIDDTPQ LFQMVSSQNR AQKLLHYLAD VAVNGSSIKG
500
501
QIGLPKLKSN PSVPHLHDAQ GNVINVTKSA PPSGWRQVLL EKGPAEFARQ
550
551
VRQFNGTLLM DTTWRDAHQS LLATRVRTHD LATIAPTTAH ALAGRFALEC
600
601
WGGATFDVAM RFLHEDPWER LRKLRSLVPN IPFQMLLRGA NGVAYSSLPD
650
651
NAIDHFVKQA KDNGVDIFRV FDALNDLEQL KVGVDAVKKA GGVVEATVCF
700
701
SGDMLQPGKK YNLDYYLEIA EKIVQMGTHI LGIKDMAGTM KPAAAKLLIG
750
751
SLRAKYPDLP IHVHTHDSAG TAVASMTACA LAGADVVDVA INSMSGLTSQ
800
801
PSINALLASL EGNIDTGINV EHVRELDAYW AEMRLLYSCF EADLKGPDPE
850
851
VYQHEIPGGQ LTNLLFQAQQ LGLGEQWAET KRAYREANYL LGDIVKVTPT
900
901
SKVVGDLAQF MVSNKLTSDD VRRLANSLDF PDSVMDFFEG LIGQPYGGFP
950
951
EPFRSDVLRN KRRKLTCRPG LELEPFDLEK IREDLQNRFG DVDECDVASY
1000
1001
NMYPRVYEDF QKMRETYGDL SVLPTRSFLS PLETDEEIEV VIEQGKTLII
1050
1051
KLQAVGDLNK KTGEREVYFD LNGEMRKIRV ADRSQKVETV TKSKADMHDP
1100
1101
LHIGAPMAGV IVEVKVHKGS LIKKGQPVAV LSAMKMEMII SSPSDGQVKE
1150
1151
VFVSDGENVD SSDLLVLLED QVPVETKA                        
1178
 

Show the unformatted sequence.

Checksums:
CRC64:BC7110A8AFB23E04
MD5:baff5bb05c291749296c9bcfe835fc38

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;