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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: A0A1W2P7S8_MOUSE (A0A1W2P7S8)

Summary

This is the summary of UniProt entry A0A1W2P7S8_MOUSE (A0A1W2P7S8).

Description: Predicted gene, 32802 {ECO:0000313|Ensembl:ENSMUSP00000151607}
Source organism: Mus musculus (Mouse) (NCBI taxonomy ID 10090)
Length: 802 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 Myb_DNA-bind_6 11 71
Pfam Myb_DNA-bind_6 63 119
low_complexity n/a 66 77
disorder n/a 108 184
coiled_coil n/a 142 162
low_complexity n/a 143 152
coiled_coil n/a 168 189
disorder n/a 193 204
disorder n/a 207 212
disorder n/a 219 223
coiled_coil n/a 225 245
disorder n/a 235 241
disorder n/a 243 276
disorder n/a 278 283
disorder n/a 290 291
disorder n/a 307 310
disorder n/a 313 338
disorder n/a 340 371
disorder n/a 373 473
low_complexity n/a 395 408
Pfam Myb_Cef 404 655
disorder n/a 475 481
disorder n/a 489 563
disorder n/a 567 568
disorder n/a 591 593
disorder n/a 596 604
disorder n/a 616 617
disorder n/a 693 698
disorder n/a 700 701
disorder n/a 703 709
low_complexity n/a 706 718
disorder n/a 767 772
coiled_coil n/a 767 801
disorder n/a 774 776
low_complexity n/a 775 787
disorder n/a 785 786

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession A0A1W2P7S8. 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
MPRIMIKGGV WRNTEDEILK AAVMKYGKNQ WSRIASLLHR KSAKQCKARW
50
51
YEWLDPSIKK TEWSREEEEK LLHLAKLMPT QWRTIAPIIG RTAAQCLEHY
100
101
EFLLDKTAQR DNEEETTDDP RKLKPGEIDP NPETKPARPD PIDMDEDELE
150
151
MLSEARARLA NTQGKKAKRK AREKQLEEAR RLAALQKRRE LRAAGIEIQK
200
201
KRKRKRGVDY NAEIPFEKKP ALGFYDTSEE NYQALDADFR KMRQQDLDGE
250
251
LRSEKEGRDR KTDKQRLKRK KESDLPSAIL QTSGVSEFTK KRSKLVLPAP
300
301
QISDAELQEV VKVGQASEVA RQTAEESGIT NSASSTLLSE YNVTNNSIAL
350
351
RTPRTPAPQD RILQEAQNLM ALTNVDTPLI GGLNTPLHES DFSGVTPQQQ
400
401
VVQTPNTVLS TPLRTPSNGA EGLTPRSGTT PKPVTNATPG RTPLRDKLHI
450
451
NPEDGMADHS DPSYVKQMER ESREHLRLGF LGLPAPKNDF EIVLPENAEK
500
501
ELEEREIDDT YIEDAADVDA RKQATRDAER VKEMKRMHKA VQKDLPRPSE
550
551
VNETILRPFD VEPPLTDLQK SEELIKKEMI TMLHYDLLHH PYEPSGNKKG
600
601
KNVGFATNDS EHITYLEHSP YEKFSKEDLK KAQDALVQEM EVVKQGMSHG
650
651
ELSSEAYNQV WEECYSQVLY LPAQSCYTRA NLASKKDRIE SLEKRLEINR
700
701
GHMTTEAKRA AKMEKKMKIL LGGYQSRAMG LMKQLNDLWD QIEQAHLELR
750
751
TFEELKKHED SAIPRRLECL EEDVQRQQER EKELQQRYAD LLMEKETLQA
800
801
KF                                                    
802
 

Show the unformatted sequence.

Checksums:
CRC64:AC80A6923EA87AEC
MD5:addd957071372f2fbf1667393ec4f366

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;