Please note: this site relies heavily on the use of javascript. Without a javascript-enabled browser, this site will not function correctly. Please enable javascript and reload the page, or switch to a different browser.
0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: Q5EBC0_RAT (Q5EBC0)

Summary

This is the summary of UniProt entry Q5EBC0_RAT (Q5EBC0).

Description: Inter-alpha-trypsin inhibitor heavy chain 4 {ECO:0000313|Ensembl:ENSRNOP00000058007}
Source organism: Rattus norvegicus (Rat) (NCBI taxonomy ID 10116)
Length: 933 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.

Show or hide the data used to generate the graphic in JSON format.

Source Domain Start End
sig_p n/a 1 28
low_complexity n/a 13 23
Pfam VIT 35 146
disorder n/a 129 130
disorder n/a 198 200
disorder n/a 213 221
disorder n/a 224 227
Pfam VWA 274 456
disorder n/a 392 398
coiled_coil n/a 554 574
low_complexity n/a 566 573
disorder n/a 595 606
disorder n/a 630 639
disorder n/a 647 649
disorder n/a 652 691
low_complexity n/a 663 684
disorder n/a 700 746
Pfam ITI_HC_C 778 933
disorder n/a 808 809

Show or hide domain scores.

Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession Q5EBC0. 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
MKSPAPAHMW NIVLVLLSLL AVLPITTTEK NGIDIYSLTV DSRVSSRFAH
50
51
TVVTSRVVNR ADTVQEATFQ VELPRKAFIT NFSMIIDGVT YPGVVKEKAE
100
101
AQKQYTAAVG RGESAGLVKT TGRKTEQFEV SVNVAPGSKT TFELIYQELL
150
151
QRRLGMYELL LKVRPEQLVK HLQMDIYIFE PQGISTLETE STFMTQELAN
200
201
ALTTSQNKTK AHIQFKPTLS QQRKSQNEQD TVLDGDFTVR YDVDRSSTGG
250
251
TIQIENGYFV HHFAPEDLPT MAKNVLFVID KSGSMAGKKI QQTREALIKI
300
301
LKDLSTQDQF NIIVFSGEAN QWEQLLVQAT EENLNRAVDY ASKIPAQGGT
350
351
NINKAVLSAV ELLDKSNQAE LLPSKSVSLI ILLTDGEPTV GETNPKIIQK
400
401
NTQEAINGRY SLFCLGFGFD VNYPFLEKLA LDNGGLARRI YEDSDSALQL
450
451
QDFYQEVANP LLSSVTFEYP SNAVEDVTRY NFQHHFKGSE MVVAGKLRDQ
500
501
GPDVLLAKVS GQMHLQNITF QTEASIAQQE KEFQGPKYIF HNFMERLWAL
550
551
LTIQQQLEQR ISASGAELEA LEAQVLNLSL KYNFVTPLTH MVVTKPEDQE
600
601
QFQVAEKPTE VDGGVWSILS AVQRHFKTPT TGSKLLTSRL RGNRFQTLSR
650
651
LGDGLVGSRQ YMPPPGLPGP PGLPGPPGPP GHPHFASSID YGRQPSLGRV
700
701
LDLPSLSSQD PAGPSLAMLP KVVEQEGTTP EESPNPDHPR APTIILPLPG
750
751
SGVDQLCVDI LHSEKPMKLF VDINQGLEVV GKYEKNIGFS WIEVTILKPH
800
801
LQVHATPERL VVTRGRKNSE YKWKKTLFSV LPGLKMTMDK TGLLQLSGPD
850
851
KVTISLLSLD DPQRGLMLLL NDTHHFSNDI TGELGQFYQD IIWDDTKQTV
900
901
RVLGIDYPAT RELKLSYQDG FPGTEISCWT VKI                  
933
 

Show the unformatted sequence.

Checksums:
CRC64:A58F967426C3032E
MD5:b6350a13e2df5ee94e19ada8c0132d65

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;