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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: I6YEU0_MYCTU (I6YEU0)

Summary

This is the summary of UniProt entry I6YEU0_MYCTU (I6YEU0).

Description: Pyruvate carboxylase {ECO:0000256|PIRNR:PIRNR001594}
Source organism: Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) (NCBI taxonomy ID 83332)
Length: 1127 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 1 111
disorder n/a 45 46
Pfam CPSase_L_D2 116 324
low_complexity n/a 162 172
low_complexity n/a 179 191
Pfam Biotin_carb_C 339 446
disorder n/a 352 356
low_complexity n/a 405 416
disorder n/a 479 480
disorder n/a 494 495
Pfam HMGL-like 523 798
low_complexity n/a 746 764
disorder n/a 817 818
Pfam PYC_OADA 820 1011
disorder n/a 820 821
disorder n/a 824 826
low_complexity n/a 872 885
disorder n/a 917 927
low_complexity n/a 921 937
disorder n/a 969 977
disorder n/a 1049 1051
Pfam Biotin_lipoyl 1059 1126
low_complexity n/a 1068 1081

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession I6YEU0. 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
MFSKVLVANR GEIAIRAFRA AYELGVGTVA VYPYEDRNSQ HRLKADESYQ
50
51
IGDIGHPVHA YLSVDEIVAT ARRAGADAIY PGYGFLSENP DLAAACAAAG
100
101
ISFVGPSAEV LELAGNKSRA IAAAREAGLP VLMSSAPSAS VDELLSVAAG
150
151
MPFPLFVKAV AGGGGRGMRR VGDIAALPEA IEAASREAES AFGDPTVYLE
200
201
QAVINPRHIE VQILADNLGD VIHLYERDCS VQRRHQKVIE LAPAPHLDAE
250
251
LRYKMCVDAV AFARHIGYSC AGTVEFLLDE RGEYVFIEMN PRVQVEHTVT
300
301
EEITDVDLVA SQLRIAAGET LEQLGLRQED IAPHGAALQC RITTEDPANG
350
351
FRPDTGRISA LRTAGGAGVR LDGSTNLGAE ISPYFDSMLV KLTCRGRDLP
400
401
TAVSRARRAI AEFRIRGVST NIPFLQAVLD DPDFRAGRVT TSFIDERPQL
450
451
LTARASADRG TKILNFLADV TVNNPYGSRP STIYPDDKLP DLDLRAAPPA
500
501
GSKQRLVKLG PEGFARWLRE SAAVGVTDTT FRDAHQSLLA TRVRTSGLSR
550
551
VAPYLARTMP QLLSVECWGG ATYDVALRFL KEDPWERLAT LRAAMPNICL
600
601
QMLLRGRNTV GYTPYPEIVT SAFVQEATAT GIDIFRIFDA LNNIESMRPA
650
651
IDAVRETGSA IAEVAMCYTG DLTDPGEQLY TLDYYLKLAE QIVDAGAHVL
700
701
AIKDMAGLLR PPAAQRLVSA LRSRFDLPVH LHTHDTPGGQ LASYVAAWHA
750
751
GADAVDGAAA PLAGTTSQPA LSSIVAAAAH TEYDTGLSLS AVCALEPYWE
800
801
ALRKVYAPFE SGLPGPTGRV YHHEIPGGQL SNLRQQAIAL GLGDRFEEIE
850
851
EAYAGADRVL GRLVKVTPTS KVVGDLALAL VGAGVSADEF ASDPARFGIP
900
901
ESVLGFLRGE LGDPPGGWPE PLRTAALAGR GAARPTAQLA ADDEIALSSV
950
951
GAKRQATLNR LLFPSPTKEF NEHREAYGDT SQLSANQFFY GLRQGEEHRV
1000
1001
KLERGVELLI GLEAISEPDE RGMRTVMCIL NGQLRPVLVR DRSIASAVPA
1050
1051
AEKADRGNPG HIAAPFAGVV TVGVCVGERV GAGQTIATIE AMKMEAPITA
1100
1101
PVAGTVERVA VSDTAQVEGG DLLVVVS                         
1127
 

Show the unformatted sequence.

Checksums:
CRC64:84B0A4CC1A23CD90
MD5:98ef6378e78601f96c513902a634d435

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;