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2  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: SET2_YEAST (P46995)

Summary

This is the summary of UniProt entry SET2_YEAST (P46995).

Description: Histone-lysine N-methyltransferase, H3 lysine-36 specific
Source organism: Saccharomyces cerevisiae (strain ATCC 204508 / S288c) (Baker's yeast) (NCBI taxonomy ID 559292)
Length: 733 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 32
Pfam AWS 76 117
Pfam SET 131 237
low_complexity n/a 298 311
disorder n/a 390 391
Pfam WW_1 479 505
disorder n/a 494 499
disorder n/a 503 548
coiled_coil n/a 560 620
low_complexity n/a 566 580
disorder n/a 572 575
disorder n/a 590 593
low_complexity n/a 592 618
disorder n/a 601 616
disorder n/a 619 624
Pfam SRI 625 711
disorder n/a 647 656
disorder n/a 672 674
disorder n/a 676 693
low_complexity n/a 704 721
low_complexity n/a 714 733
disorder n/a 716 733

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession P46995. 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
MSKNQSVSAS EDEKEILNNN AEGHKPQRLF DQEPDLTEEA LTKFENLDDC
50
51
IYANKRIGTF KNNDFMECDC YEEFSDGVNH ACDEDSDCIN RLTLIECVND
100
101
LCSSCGNDCQ NQRFQKKQYA PIAIFKTKHK GYGVRAEQDI EANQFIYEYK
150
151
GEVIEEMEFR DRLIDYDQRH FKHFYFMMLQ NGEFIDATIK GSLARFCNHS
200
201
CSPNAYVNKW VVKDKLRMGI FAQRKILKGE EITFDYNVDR YGAQAQKCYC
250
251
EEPNCIGFLG GKTQTDAASL LPQNIADALG VTVSMEKKWL KLKKLSGEPI
300
301
IKNENENINI EFLQSLEVQP IDSPVDVTKI MSVLLQQDNK IIASKLLKRL
350
351
FTIDDDSLRH QAIKLHGYTC FSKMLKLFIT EQPQVDGKGN ETEEDDIKFI
400
401
KGILDFLLEL PKTTRNGIES SQIDNVVKTL PAKFPFLKPN CDELLEKWSK
450
451
FETYKRITKK DINVAASKMI DLRRVRLPPG WEIIHENGRP LYYNAEQKTK
500
501
LHYPPSGSSK VFSSRSNTQV NSPSSSGIPK TPGALDSKKH KLSDEEYERK
550
551
KQKRLEYERI ALERAKQEEL ESLKQKLKLE NERKSVLEDI IAEANKQKEL
600
601
QKEEAKKLVE AKEAKRLKRK TVSQSQRLEH NWNKFFASFV PNLIKKNPQS
650
651
KQFDHENIKQ CAKDIVKILT TKELKKDSSR APPDDLTKGK RHKVKEFINS
700
701
YMDKIILKKK QKKALALSSA STRMSSPPPS TSS                  
733
 

Show the unformatted sequence.

Checksums:
CRC64:05436B181E88EFF5
MD5:fc3a5b0ed22473f1a19a3e0067b39402

Structures

For those sequences which have a structure in the Protein DataBank, we use the mapping between UniProt, PDB and Pfam coordinate systems from the PDBe SIFTS project, to allow us to map Pfam domains onto UniProt three-dimensional structures. The table below shows the mapping between Pfam domains, this UniProt entry and a corresponding three dimensional structure.

Pfam family UniProt residues PDB ID PDB chain ID PDB residues View
SRI 625 - 711 2C5Z A 625 - 711 Show 3D Structure View in InterPro
WW_1 479 - 505 1E0N A 7 - 33 Show 3D Structure View in InterPro
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The parts of the structure corresponding to the Pfam family are highlighted in blue.

Loading Structure Data

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;