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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: SRBD1_MOUSE (Q497V5)

Summary

This is the summary of UniProt entry SRBD1_MOUSE (Q497V5).

Description: S1 RNA-binding domain-containing protein 1
Source organism: Mus musculus (Mouse) (NCBI taxonomy ID 10090)
Length: 982 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 29
low_complexity n/a 20 33
disorder n/a 32 159
low_complexity n/a 104 120
low_complexity n/a 114 128
disorder n/a 171 172
disorder n/a 174 197
Pfam Tex_N 213 396
coiled_coil n/a 256 283
low_complexity n/a 399 412
Pfam Tex_YqgF 532 658
Pfam HHH_3 698 762
disorder n/a 779 793
disorder n/a 800 802
Pfam HHH_9 808 885
disorder n/a 848 850
Pfam S1 902 979

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession Q497V5. 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
MPSLRKRVKI QAENAEPKDE CSFFSELSSG SEEDNKEDSI WEPQKKVPRN
50
51
RRQPASKGSK RKQGPRAKKS SQQVDDESKD VAVKEELNSP VAIVDADLEE
100
101
KSHKLQTTKT LKTAAKKQKK PVPRAKKRLK VDEETSQASP LEGGGSNVET
150
151
PSTSACGNVC KKEESEDSFT FGQSPVKRIR TESCPQGRPA RVPDGVSDIK
200
201
EEVEMNWDVV QVLSERTNIE PWVCANIIRL FNDDNTIPFI VRYRKELINN
250
251
LDADFLREVR QTLDELRDVA KKVHSRIQKI KKEGKMSECL LQALLNCKTF
300
301
EELEHVSAPY KMGSKGTKAQ RAKQLGLEGA AWTLLENPGQ LNLLSYIKPD
350
351
VKGLSELNDI ETGVQHILAD MIAKDKDTLD FIRGLCKHRY ICIQSSLAKV
400
401
SSKKVNEKEV DKFQLYQNFS CNIRTIHHHQ ILAINRGENL KILTVKVNIS
450
451
DGVKNEFCRW CIQNRWRPRG FARPELMKIL HNSLDDSFKR LIVPLLCREF
500
501
RAKLTSDAEK QSVMMFGQNL RQLLLTSPVP GRTLMGVDPG YKHGCKLAII
550
551
SPTSQILHTD VVYLHCGQGF REAEKIKRLL LHFNCRTVVI GNGTACRETE
600
601
AYFADLIMKN YFAPLDVVYC IVSEAGASIY SVSPEANKEM PGLDPNLRSA
650
651
VSIARRVQDP LAELVKFDPK HIGVGMYQHD VSQTLLKATL DSVVEECVSF
700
701
VGVDINICSE VLLRHIAGLN ANRAKNIIEW REKNGPFINR EQLKKVKGLG
750
751
PKSFQQCAGF VRINQDYIRT FCSSQHTDSS GQSQETAMVT NEKLGKKKNK
800
801
ADATLIPNPL DQTCIHPESY DIAVRFLSFI GGTMCEIGKP EMQQKINVSL
850
851
GKEGIEETAE RLQTTVHTLQ VIIDGLSQPK TFDIRTDFDK PDFKRSIVCL
900
901
EDLQVGTVLT GKVENATLFG VFVDIGVGKA GLIPIRFITE AKLSKTKRRR
950
951
SLGLGPGEKV EVKVLNVDIP RSRISLDLLR VL                   
982
 

Show the unformatted sequence.

Checksums:
CRC64:917DF85563A61B3B
MD5:deb40dcd57e8cf9f2f570265d381e6b6

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;