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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: MBTB_MYCTU (P9WQ63)

Summary

This is the summary of UniProt entry MBTB_MYCTU (P9WQ63).

Description: Phenyloxazoline synthase MbtB EC=6.3.2.-
Source organism: Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) (NCBI taxonomy ID 83332)
Length: 1414 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 PP-binding 9 74
low_complexity n/a 76 92
disorder n/a 85 93
disorder n/a 95 98
Pfam Condensation 97 519
disorder n/a 104 107
low_complexity n/a 139 150
disorder n/a 273 274
disorder n/a 286 287
disorder n/a 297 308
low_complexity n/a 302 316
disorder n/a 311 316
low_complexity n/a 396 409
low_complexity n/a 530 542
disorder n/a 553 559
Pfam AMP-binding 558 951
low_complexity n/a 581 603
low_complexity n/a 616 630
low_complexity n/a 664 680
disorder n/a 708 710
Pfam AMP-binding_C 959 1031
low_complexity n/a 983 998
low_complexity n/a 1035 1046
Pfam PP-binding 1064 1131
Pfam Thioesterase 1189 1413
low_complexity n/a 1196 1202
disorder n/a 1296 1299
low_complexity n/a 1322 1334
disorder n/a 1373 1374

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession P9WQ63. 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
MVHATACSEI IRAEVAELLG VRADALHPGA NLVGQGLDSI RMMSLVGRWR
50
51
RKGIAVDFAT LAATPTIEAW SQLVSAGTGV APTAVAAPGD AGLSQEGEPF
100
101
PLAPMQHAMW VGRHDHQQLG GVAGHLYVEF DGARVDPDRL RAAATRLALR
150
151
HPMLRVQFLP DGTQRIPPAA GSRDFPISVA DLRHVAPDVV DQRLAGIRDA
200
201
KSHQQLDGAV FELALTLLPG ERTRLHVDLD MQAADAMSYR ILLADLAALY
250
251
DGREPPALGY TYREYRQAIE AEETLPQPVR DADRDWWAQR IPQLPDPPAL
300
301
PTRAGGERDR RRSTRRWHWL DPQTRDALFA RARARGITPA MTLAAAFANV
350
351
LARWSASSRF LLNLPLFSRQ ALHPDVDLLV GDFTSSLLLD VDLTGARTAA
400
401
ARAQAVQEAL RSAAGHSAYP GLSVLRDLSR HRGTQVLAPV VFTSALGLGD
450
451
LFCPDVTEQF GTPGWIISQG PQVLLDAQVT EFDGGVLVNW DVREGVFAPG
500
501
VIDAMFTHQV DELLRLAAGD DAWDAPSPSA LPAAQRAVRA ALNGRTAAPS
550
551
TEALHDGFFR QAQQQPDAPA VFASSGDLSY AQLRDQASAV AAALRAAGLR
600
601
VGDTVAVLGP KTGEQVAAVL GILAAGGVYL PIGVDQPRDR AERILATGSV
650
651
NLALVCGPPC QVRVPVPTLL LADVLAAAPA EFVPGPSDPT ALAYVLFTSG
700
701
STGEPKGVEV AHDAAMNTVE TFIRHFELGA ADRWLALATL ECDMSVLDIF
750
751
AALRSGGAIV VVDEAQRRDP DAWARLIDTY EVTALNFMPG WLDMLLEVGG
800
801
GRLSSLRAVA VGGDWVRPDL ARRLQVQAPS ARFAGLGGAT ETAVHATIFE
850
851
VQDAANLPPD WASVPYGVPF PNNACRVVAD SGDDCPDWVA GELWVSGRGI
900
901
ARGYRGRPEL TAERFVEHDG RTWYRTGDLA RYWHDGTLEF VGRADHRVKI
950
951
SGYRVELGEI EAALQRLPGV HAAAATVLPG GSDVLAAAVC VDDAGVTAES
1000
1001
IRQQLADLVP AHMIPRHVTL LDRIPFTDSG KIDRAEVGAL LAAEVERSGD
1050
1051
RSAPYAAPRT VLQRALRRIV ADILGRANDA VGVHDDFFAL GGDSVLATQV
1100
1101
VAGIRRWLDS PSLMVADMFA ARTIAALAQL LTGREANADR LELVAEVYLE
1150
1151
IANMTSADVM AALDPIEQPA QPAFKPWVKR FTGTDKPGAV LVFPHAGGAA
1200
1201
AAYRWLAKSL VANDVDTFVV QYPQRADRRS HPAADSIEAL ALELFEAGDW
1250
1251
HLTAPLTLFG HCMGAIVAFE FARLAERNGV PVRALWASSG QAPSTVAASG
1300
1301
PLPTADRDVL ADMVDLGGTD PVLLEDEEFV ELLVPAVKAD YRALSGYSCP
1350
1351
PDVRIRANIH AVGGNRDHRI SREMLTSWET HTSGRFTLSH FDGGHFYLND
1400
1401
HLDAVARMVS ADVR                                       
1414
 

Show the unformatted sequence.

Checksums:
CRC64:CB31307EF6CB1039
MD5:1caea992fc2b80413d72c53a6854bc70

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;