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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: A0A0P0Y7V1_ORYSJ (A0A0P0Y7V1)

Summary

This is the summary of UniProt entry A0A0P0Y7V1_ORYSJ (A0A0P0Y7V1).

Description: Os12g0197400 protein {ECO:0000313|EMBL:BAT16245.1} (Fragment)
Source organism: Oryza sativa subsp. japonica (Rice) (NCBI taxonomy ID 39947)
Length: 787 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 29 51
low_complexity n/a 31 43
disorder n/a 60 87
disorder n/a 146 147
low_complexity n/a 154 169
Pfam AIG1 163 338
disorder n/a 335 336
disorder n/a 345 346
low_complexity n/a 362 372
low_complexity n/a 394 413
disorder n/a 398 406
disorder n/a 411 427
disorder n/a 429 432
disorder n/a 434 435
low_complexity n/a 439 450
disorder n/a 483 484
disorder n/a 486 488
disorder n/a 491 500
Pfam TOC159_MAD 502 767
disorder n/a 502 504
disorder n/a 507 508
disorder n/a 566 569
disorder n/a 776 778

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession A0A0P0Y7V1. 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
LVMMSFRDWI SYRLGSSVLS ARPFSLSAHH DGAAAQPGGD GDGVMQNEIV
50
51
ETVSANRFPS NDIRASDSEV TSSPSYEPDH DSTKSDPLKH VEALQIKFLR
100
101
LVHRTGVPPT TDVVAQVLYR LHLANLIKAG ESDSKRTNLA INKARVIAAE
150
151
QEAPGGPDLD LPLRILLLGK TGVGKSATIN SIFDEPKVAT NALAPATERI
200
201
RRIDGTIKGI RVTVIDTPGL LPHYHRQRKN RKILHAVKRF IKRSPPDIVL
250
251
YFERLDHINS RYCEYPLLKL ITDILGSSMW FNTVLVMTHC SSSPPEGPDG
300
301
YPLEYDSYAR YCKNVVQRHI QVAASNTQME NPVVLVDNHP MCRRNTKGER
350
351
VLPNGKVWVS ELLLLCGATK LLAEANSLLK FQDSFLLSQA NTRLPSLPHL
400
401
LSSLLKPNPS SRSEDVGIDM TEVSDDEDES DQLPPFRVLK KSEYEKLSKE
450
451
QRSAYLDELD YRETLYLKKQ WKEGIRRQKL VEAQNVDASN AVGDDYEESV
500
501
SPEVVHMSDM EIPSSFDSDY PVHRYRYLIT DDMVFRPVLD PQGWDHDIGF
550
551
DGINFEVSQD LEKNTTASIA GQMRKDKEDL YIQSECSVSY SGKNGRSLIG
600
601
SMNMQTANKD LVCTVNGDAR FHNLPWNTTG GGISITKFGS KYFTGAKLED
650
651
SITVGRRVQL VGNAGRMVGC GQVAHGGGLE MTFRGKDYPV REESITVAAT
700
701
ALSFEKETVI STNLQSDFRM GRGSKVSVSA NLNSRNLGRF CVKTSTSDHS
750
751
EIALVAAVTL FQFFLRRRTA STDKGEQQFE FDTYSDE              
787
 

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Checksums:
CRC64:3C1D5F6B3742E728
MD5:6eecbf268112e137dfee735dd447327f

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;