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: DPO3_STAA8 (Q2G1Z8)

Summary

This is the summary of UniProt entry DPO3_STAA8 (Q2G1Z8).

Description: DNA polymerase III PolC-type {ECO:0000255|HAMAP-Rule:MF_00356}
Source organism: Staphylococcus aureus (strain NCTC 8325 / PS 47) (NCBI taxonomy ID 93061)
Length: 1436 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
Pfam DNA_pol3_a_NI 6 78
Pfam DNA_pol3_a_NII 92 206
coiled_coil n/a 164 213
disorder n/a 170 176
disorder n/a 185 210
low_complexity n/a 189 202
low_complexity n/a 316 332
Pfam PHP 335 693
Pfam RNase_T 421 576
disorder n/a 760 766
Pfam DNA_pol3_alpha 821 1017
low_complexity n/a 880 891
Pfam DNA_pol3_alpha 1006 1091
Pfam DNA_pol3_finger 1094 1245
Pfam HHH_6 1346 1431

Show or hide domain scores.

Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession Q2G1Z8. 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
MTEQQKFKVL ADQIKISNQL DAEILNSGEL TRIDVSNKNR TWEFHITLPQ
50
51
FLAHEDYLLF INAIEQEFKD IANVTCRFTV TNGTNQDEHA IKYFGHCIDQ
100
101
TALSPKVKGQ LKQKKLIMSG KVLKVMVSND IERNHFDKAC NGSLIKAFRN
150
151
CGFDIDKIIF ETNDNDQEQN LASLEAHIQE EDEQSARLAT EKLEKMKAEK
200
201
AKQQDNNESA VDKCQIGKPI QIENIKPIES IIEEEFKVAI EGVIFDINLK
250
251
ELKSGRHIVE IKVTDYTDSL VLKMFTRKNK DDLEHFKALS VGKWVRAQGR
300
301
IEEDTFIRDL VMMMSDIEEI KKATKKDKAE EKRVEFHLHT AMSQMDGIPN
350
351
IGAYVKQAAD WGHPAIAVTD HNVVQAFPDA HAAAEKHGIK MIYGMEGMLV
400
401
DDGVPIAYKP QDVVLKDATY VVFDVETTGL SNQYDKIIEL AAVKVHNGEI
450
451
IDKFERFSNP HERLSETIIN LTHITDDMLV DAPEIEEVLT EFKEWVGDAI
500
501
FVAHNASFDM GFIDTGYERL GFGPSTNGVI DTLELSRTIN TEYGKHGLNF
550
551
LAKKYGVELT QHHRAIYDTE ATAYIFIKMV QQMKELGVLN HNEINKKLSN
600
601
EDAYKRARPS HVTLIVQNQQ GLKNLFKIVS ASLVKYFYRT PRIPRSLLDE
650
651
YREGLLVGTA CDEGELFTAV MQKDQSQVEK IAKYYDFIEI QPPALYQDLI
700
701
DRELIRDTET LHEIYQRLIH AGDTAGIPVI ATGNAHYLFE HDGIARKILI
750
751
ASQPGNPLNR STLPEAHFRT TDEMLNEFHF LGEEKAHEIV VKNTNELADR
800
801
IERVVPIKDE LYTPRMEGAN EEIRELSYAN ARKLYGEDLP QIVIDRLEKE
850
851
LKSIIGNGFA VIYLISQRLV KKSLDDGYLV GSRGSVGSSF VATMTEITEV
900
901
NPLPPHYICP NCKTSEFFND GSVGSGFDLP DKTCETCGAP LIKEGQDIPF
950
951
ETFLGFKGDK VPDIDLNFSG EYQPNAHNYT KVLFGEDKVF RAGTIGTVAE
1000
1001
KTAFGYVKGY LNDQGIHKRG AEIDRLVKGC TGVKRTTGQH PGGIIVVPDY
1050
1051
MDIYDFTPIQ YPADDQNSAW MTTHFDFHSI HDNVLKLDIL GHDDPTMIRM
1100
1101
LQDLSGIDPK TIPVDDKEVM QIFSTPESLG VTEDEILCKT GTFGVPEFGT
1150
1151
GFVRQMLEDT KPTTFSELVQ ISGLSHGTDV WLGNAQELIK TGICDLSSVI
1200
1201
GCRDDIMVYL MYAGLEPSMA FKIMESVRKG KGLTEEMIET MKENEVPDWY
1250
1251
LDSCLKIKYM FPKAHAAAYV LMAVRIAYFK VHHPLYYYAS YFTIRASDFD
1300
1301
LITMIKDKTS IRNTVKDMYS RYMDLGKKEK DVLTVLEIMN EMAHRGYRMQ
1350
1351
PISLEKSQAF EFIIEGDTLI PPFISVPGLG ENVAKRIVEA RDDGPFLSKE
1400
1401
DLNKKAGLSQ KIIEYLDELG SLPNLPDKAQ LSIFDM               
1436
 

Show the unformatted sequence.

Checksums:
CRC64:2F70E034C0FBF723
MD5:0d9f7c4544958296f9a9ab22d3e04b94

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;