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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: A0A1C1CBP9_9EURO (A0A1C1CBP9)

Summary

This is the summary of UniProt entry A0A1C1CBP9_9EURO (A0A1C1CBP9).

Description: Pyruvate carboxylase {ECO:0000256|ARBA:ARBA00013057, ECO:0000256|PIRNR:PIRNR001594}
Source organism: Cladophialophora carrionii (NCBI taxonomy ID 86049)
Length: 1186 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
disorder n/a 1 23
Pfam Biotin_carb_N 34 146
Pfam CPSase_L_D2 151 360
low_complexity n/a 198 208
low_complexity n/a 341 355
Pfam Biotin_carb_C 375 483
disorder n/a 389 392
low_complexity n/a 401 412
Pfam HMGL-like 572 845
low_complexity n/a 793 807
disorder n/a 805 806
disorder n/a 864 865
Pfam PYC_OADA 867 1066
disorder n/a 867 869
disorder n/a 1097 1117
Pfam Biotin_lipoyl 1116 1183

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession A0A1C1CBP9. 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
MAANGNDGDH EEGRSHHLEH SVHQRLRANS SIMQLKKILV ANRGEIPIRI
50
51
FRTAHELSLQ TVAVYSYEDR LGMHRQKADE AYMIGKRGQY TPVGAYLAGE
100
101
EIIKIALAHG VQMIHPGYGF LSENSEFARK VEEAGIIFVG PSYQVIESLG
150
151
DKVSARRLAM KCDVPCVPGT EGPVAKFEEV KAFTDEYGFP IIIKAAFGGG
200
201
GRGMRVVRDQ ESLKDAFERA TSEAKSAFGN GTVFVERFLD RPKHIEVQLL
250
251
GDNHGNVVHL YERDCSVQRR HQKVVELAPA KDLPAETRDA ILNDAVKLAK
300
301
SVNYRNAGTA EFLVDQQNRY YFIEINPRIQ VEHTITEEIT GIDIVAAQIQ
350
351
IAAGASLEQL GLTQDRISTR GFAIQCRITT EDPQHGFSPD TGKIEVYRSA
400
401
GGNGVRLDGG NGFAGAIITP HYDSMLVKCT CHGSTYEIVR RKMLRALVEF
450
451
RIRGVKTNIP FLASLLTHPT FIEGTCWTTF IDDTPELFRL IGSQNRAQKL
500
501
LQYLGDLAVN GSSIKGQIGE SKFKGDIIFP TLLDENGKEI DVDQPCTKGW
550
551
KSIIDKEGPE GFAKAVRANK GCLIMDTTWR DAHQSLLATR VRTVDLCNIA
600
601
KHTSHALANA WALENWGGAT FDVAMRFLYE DPWDRLRKMR KLVPNIPFQM
650
651
LLRGANGVAY KSLPDNAIYH FCKQAKKNGM DIFRVFDALN DIEQLEVGMR
700
701
AVQEAGGVVE GTICYSGDML NPKKKYNLQY YMDLVDKICK IGTHILGIKD
750
751
MAGVLKPKAA RILVGSIRAK YPDLPIHVHT HDSAGTGVAS MVACAEAGAD
800
801
AVDAATDSMS GMTSQPSIGA ILASLEGTDY DPGLNGHNVR ALDQYWSQLR
850
851
LLYSPFEAGL TGPDPEVYEH EIPGGQLTNL IFQASQLGLG SQWLETKKAY
900
901
EQANALLGDI VKVTPTSKVV GDLAQFMVSN KLDYDGVIAK AKELDFPESV
950
951
LEFFEGYMGQ PYGGFPEPLR SDVLRGRRKM TKRPGLYLDP IDFAKVRQEL
1000
1001
KEKYNTTAET DIASYVMYTK VYEDYRKFLD KYGDLSVLPT KYFLNRPEIG
1050
1051
EEFHVELEKG KVLIMKLLAV GPLSEATGQR EVFYEVNGEV RQVTIDDNKA
1100
1101
AVENTSRPKA DPGDSSQVGA PMAGVVVEVR AKEGHDIKKG DPIAVLSAMK
1150
1151
MEMVISAPHS GKVGELFVKE GDSVAGSDLV CKIAKA               
1186
 

Show the unformatted sequence.

Checksums:
CRC64:FB60CA74C3CBD016
MD5:f29c4135a7709cf46923dcfb4e3c5732

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;