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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: PYC_MOUSE (Q05920)

Summary

This is the summary of UniProt entry PYC_MOUSE (Q05920).

Description: Pyruvate carboxylase, mitochondrial
Source organism: Mus musculus (Mouse) (NCBI taxonomy ID 10090)
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
low_complexity n/a 7 21
Pfam Biotin_carb_N 36 146
Pfam CPSase_L_D2 151 360
low_complexity n/a 157 169
Pfam Biotin_carb_C 375 483
disorder n/a 384 385
disorder n/a 389 393
disorder n/a 442 443
disorder n/a 487 488
low_complexity n/a 512 540
disorder n/a 515 522
disorder n/a 527 529
disorder n/a 531 532
Pfam HMGL-like 563 837
low_complexity n/a 689 703
low_complexity n/a 787 799
Pfam PYC_OADA 861 1061
Pfam Biotin_lipoyl 1110 1177
disorder n/a 1160 1161

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession Q05920. 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
MLKFQTVRGG LRLLGVRRSS SAPVASPNVR RLEYKPIKKV MVANRGEIAI
50
51
RVFRACTELG IRTVAVYSEQ DTGQMHRQKA DEAYLIGRGL APVQAYLHIP
100
101
DIIKVAKENG VDAVHPGYGF LSERADFAQA CQDAGVRFIG PSPEVVRKMG
150
151
DKVEARAIAI AAGVPVVPGT DSPISSLHEA HEFSNTFGFP IIFKAAYGGG
200
201
GRGMRVVHSY EELEENYTRA YSEALAAFGN GALFVEKFIE KPRHIEVQIL
250
251
GDQYGNILHL YERDCSIQRR HQKVVEIAPA THLDPQLRSR LTSDSVKLAK
300
301
QVGYENAGTV EFLVDKHGKH YFIEVNSRLQ VEHTVTEEIT DVDLVHAQIH
350
351
VSEGRSLPDL GLRQENIRIN GCAIQCRVTT EDPARSFQPD TGRIEVFRSG
400
401
EGMGIRLDNA SAFQGAVISP HYDSLLVKVI AHGKDHPTAA TKMSRALAEF
450
451
RVRGVKTNIP FLQNVLNNQQ FLAGTVDTQF IDENPELFQL RPAQNRAQKL
500
501
LHYLGHVMVN GPTTPIPVNV SPSPVDPAVP VVPIGPPPAG FRDILLREGP
550
551
EGFARAVRNH QGLLLMDTTF RDAHQSLLAT RVRTHDLKKI APYVAHNFNK
600
601
LFSMENWGGA TFDVAMRFLY ECPWRRLQEL RELIPNIPFQ MLLRGANAVG
650
651
YTNYPDNVVF KFCEVAKENG MDVFRVFDSL NYLPNMLLGM EAAGSAGGVV
700
701
EAAISYTGDV ADPSRTKYSL EYYMGLAEEL VRAGTHILCI KDMAGLLKPA
750
751
ACTMLVSSLR DRFPDLPLHI HTHDTSGAGV AAMLACAQAG ADVVDVAVDS
800
801
MSGMTSQPSM GALVACTKGT PLDTEVPLER VFDYSEYWEG ARGLYAAFDC
850
851
TATMKSGNSD VYENEIPGGQ YTNLHFQAHS MGLGSKFKEV KKAYVEANQM
900
901
LGDLIKVTPS SKIVGDLAQF MVQNGLSRAE AEAQAEELSF PRSVVEFLQG
950
951
YIGIPHGGFP EPFRSKVLKD LPRIEGRPGA SLPPLNLKEL EKDLIDRHGE
1000
1001
EVTPEDVLSA AMYPDVFAQF KDFTATFGPL DSLNTRLFLQ GPKIAEEFEV
1050
1051
ELERGKTLHI KALAVSDLNR AGQRQVFFEL NGQLRSILVK DTQAMKEMHF
1100
1101
HPKALKDVKG QIGAPMPGKV IDIKVAAGDK VAKGQPLCVL SAMKMETVVT
1150
1151
SPMEGTIRKV HVTKDMTLEG DDLILEIE                        
1178
 

Show the unformatted sequence.

Checksums:
CRC64:14CEA0F9DA8B8127
MD5:1aac81ab4aeb4d94d9863970e86f0855

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;