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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: TLR12_MOUSE (Q6QNU9)

Summary

This is the summary of UniProt entry TLR12_MOUSE (Q6QNU9).

Description: Toll-like receptor 12 {ECO:0000303|PubMed:14993594}
Source organism: Mus musculus (Mouse) (NCBI taxonomy ID 10090)
Length: 906 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 25
low_complexity n/a 6 16
low_complexity n/a 253 266
Pfam LRR_8 268 328
low_complexity n/a 293 307
Pfam LRR_8 337 378
Pfam LRR_8 366 426
low_complexity n/a 368 382
low_complexity n/a 410 424
low_complexity n/a 443 459
low_complexity n/a 494 502
transmembrane n/a 710 727
Pfam TIR_2 763 893
low_complexity n/a 837 863

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession Q6QNU9. 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
MGRYWLLPGL LLSLPLVTGW STSNCLVTEG SRLPLVSRYF TFCRHSKLSF
50
51
LAACLSVSNL TQTLEVVPRT VEGLCLGGTV STLLPDAFSA FPGLKVLALS
100
101
LHLTQLLPGA LRGLGQLQSL SFFDSPLRRS LFLPPDAFSD LISLQRLHIS
150
151
GPCLDKKAGI RLPPGLQWLG VTLSCIQDVG ELAGMFPDLV QGSSSRVSWT
200
201
LQKLDLSSNW KLKMASPGSL QGLQVEILDL TRTPLDAVWL KGLGLQKLDV
250
251
LYAQTATAEL AAEAVAHFEL QGLIVKESKI GSISQEALAS CHSLKTLGLS
300
301
STGLTKLPPG FLTAMPRLQR LELSGNQLQS AVLCMNETGD VSGLTTLDLS
350
351
GNRLRILPPA AFSCLPHLRE LLLRYNQLLS LEGYLFQELQ QLETLKLDGN
400
401
PLLHLGKNWL AALPALTTLS LLDTQIRMSP EPGFWGAKNL HTLSLKLPAL
450
451
PAPAVLFLPM YLTSLELHIA SGTTEHWTLS PAIFPSLETL TISGGGLKLK
500
501
LGSQNASGVF PALQKLSLLK NSLDAFCSQG TSNLFLWQLP KLQSLRVWGA
550
551
GNSSRPCLIT GLPSLRELKL ASLQSITQPR SVQLEELVGD LPQLQALVLS
600
601
STGLKSLSAA AFQRLHSLQV LVLEYEKDLM LQDSLREYSP QMPHYIYILE
650
651
SNLACHCANA WMEPWVKRST KTYIYIRDNR LCPGQDRLSA RGSLPSFLWD
700
701
HCPQTLELKL FLASSALVFM LIALPLLQEA RNSWIPYLQA LFRVWLQGLR
750
751
GKGDKGKRFL FDVFVSHCRQ DQGWVIEELL PALEGFLPAG LGLRLCLPER
800
801
DFEPGKDVVD NVVDSMLSSR TTLCVLSGQA LCNPRCRLEL RLATSLLLAA
850
851
PSPPVLLLVF LEPISRHQLP GYHRLARLLR RGDYCLWPEE EERKSGFWTW
900
901
LRSRLG                                                
906
 

Show the unformatted sequence.

Checksums:
CRC64:9D6372CCB42DFA14
MD5:8ae2bfeb22911397ff3acbbfaefaae04

TreeFam

Below is a phylogenetic tree of animal genes, with ortholog and paralog assignments, from TreeFam.

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;