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: POK19_HUMAN (Q9WJR5)

Summary

This is the summary of UniProt entry POK19_HUMAN (Q9WJR5).

Description: Endogenous retrovirus group K member 19 Pol protein Reverse transcriptase Ribonuclease H Integrase EC=2.7.7.49 EC=3.1.26.4
Source organism: Homo sapiens (Human) (NCBI taxonomy ID 9606)
Length: 959 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
disorder n/a 3 4
disorder n/a 9 12
Pfam RVT_1 76 248
low_complexity n/a 248 262
Pfam RVT_thumb 255 320
Pfam RNase_H 464 593
low_complexity n/a 543 553
Pfam Integrase_Zn 595 632
Pfam rve 647 742
disorder n/a 758 764
disorder n/a 766 768
disorder n/a 798 806
disorder n/a 810 814
Pfam IN_DBD_C 816 860
disorder n/a 863 927

Show or hide domain scores.

Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession Q9WJR5. 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
NKSKKRRNRV SFLGAATVEP PKPIPLTWKT EKPVWVNQWP LPKQKLEALH
50
51
LLANEQLEKG HIEPSFSPWN SPVFVIQKKS GKWRMLTDLR AVNAVNAVIQ
100
101
PMGPLQPGLP SLAMIPKDWP LIIIDLKDCF FTIPLAEQDC EKFAFTIPAI
150
151
NNKEPATRFQ WKVLPQGMLN SPTICQTFVG RALQPVREKF SDCYIIHYID
200
201
DILCAAEMKD KLIDCYTFLQ AEVANAGLAI ASDKIQTSTP FHYLEMQIEN
250
251
RKIKPPKIEI RKDTLKTLND FQKLLGDINW IRPTLGIPTY AMSNLFSILR
300
301
GDSDLNSKRM LTPEATKEIK LVEEKIQSAQ INRIDPLAPL QLLIFATAHS
350
351
PTGIIIQNTD LVEWSFLPHS TVKTFTLYLD QMATLIGQTR LRIIKLCGND
400
401
PDKIVVPLTK EQVRQAFINS GAWQIGLANF VGIIDNHYPK TKIFQFLKMT
450
451
TWILPKITRR EPLENALTVF TDGSSNGKAA YTGPKERVIK TQYQSAQRAE
500
501
LVAVITVLQD FDQPINIISD SAYVVQATRD VETALIKYSM DDQLNQLFNL
550
551
LQQTVRKRNF PFYITHIRAH TNLPGPLTKA NEQADLLVSS ALIKAQELHA
600
601
LTHVNVAGLK NKFDVTWKQA KDIVQHCTQC QVLHLPTQEA GVNPRGLCPN
650
651
ALWQMDVTHV SSFGRLSYIH VTVDTYSHFI WATCQTGEST SHVKKHLLSC
700
701
FAVMGVPEKI KTDNGPGYCS KAFQKFLSQW KISHTTGIPY NSQGQAIVER
750
751
TNRTLKTQLV KQKEGGDSKE CTTPQMQLNL ALYTLNFLNI YRNQTTTSAE
800
801
QHLTGKKNSP HEGKLIWWKD NKNKTWEIGK VITWGRGFAC VSPGENQLPV
850
851
WIPTRHLKFY NEPIGDAKKS TSAETETPQS STVDSQDEQN GDVRRTDEVA
900
901
IHQESRAADL GTTKEADAVS YKISREHKGD TNPREYAACG LDDCINGGKS
950
951
PYACRSSCS                                             
959
 

Show the unformatted sequence.

Checksums:
CRC64:60276896681286A9
MD5:7eaa2680aaff0ea3f0609bd577ef1f20

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;