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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: MURE_ORYSJ (Q94LU9)

Summary

This is the summary of UniProt entry MURE_ORYSJ (Q94LU9).

Description: UDP-N-acetylmuramoyl-L-alanyl-D-glutamate--2,6-diaminopimelate ligase MurE homolog, chloroplastic {ECO:0000305}
Source organism: Oryza sativa subsp. japonica (Rice) (NCBI taxonomy ID 39947)
Length: 757 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
sig_p n/a 1 18
low_complexity n/a 4 18
disorder n/a 7 119
low_complexity n/a 11 47
low_complexity n/a 44 57
low_complexity n/a 73 83
disorder n/a 123 157
low_complexity n/a 134 145
disorder n/a 169 204
low_complexity n/a 176 204
low_complexity n/a 330 344
Pfam Mur_ligase_M 334 542
disorder n/a 407 408
low_complexity n/a 537 547
Pfam Mur_ligase_C 562 648
disorder n/a 619 621
disorder n/a 632 633
disorder n/a 635 636
low_complexity n/a 686 695

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession Q94LU9. 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
MATAPLAFHL PFPFPSASRP PPRLLPPSRR PPAARLAATR RFRPPTADDE
50
51
PPEAAEDSSH GLNRYDQLTR HVERARRRQQ AEQPEITPDH PLFSSPPSSG
100
101
EAGSYDPDDE FFDEIDRAIA EKREEFTRRG LIKPSAPAPS QPEEEDGLAD
150
151
ELSPEEVIDL DEIRRLQGLS VVSLADEEDE EANGGGGGVD YGDDGVPLDD
200
201
DGEVFDVADE VGLEGARVRY PAFRMTLAEL LDESKLVPVA VTGDQDVALA
250
251
GVQRDASLVA AGDLYVCVGE EGLAGLTEAD KRGAVAVVAD QTVDIEGTLA
300
301
CRALVIVDDI TAALRMLPAC LYRRPSKDMA VIGVAGTDGV TTTAHLVRAM
350
351
YEAMGVRTGM VGVLGAYAFG NNKLDAQPDA SGDPIAVQRL MATMLYNGAE
400
401
AALLEATTDG MPSSGVDSEI DYDIAVLTNV RHAGDEAGMT YEEYMNSMAS
450
451
LFSRMVDPER HRKVVNIDDP SAPFFAAQGG QDVPVVTYSF ENKKADVHTL
500
501
KYQLSLFETE VLVQTPHGIL EISSGLLGRD NIYNILASVA VGVAVGAPLE
550
551
DIVKGIEEVD AIPGRCELID EEQAFGVIVD HARTPESLSR LLDGVKELGP
600
601
RRIVTVIGCC GERERGKRPV MTKVAAEKSD VVMLTSDNPA NEDPLDILDD
650
651
MLAGVGWTME EYLKHGTNDY YPPLPNGHRI FLHDIRRVAV RAAVAMGEQG
700
701
DVVVITGKGN DTYQIEVDKK EFFDDREECR EALQYVDQLH RAGIDTSEFP
750
751
WRLPESH                                               
757
 

Show the unformatted sequence.

Checksums:
CRC64:8EF030AFADE51F80
MD5:122f78cc462f55ee2c8d3e0ae46d1d25

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;