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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: Q4DZA9_TRYCC (Q4DZA9)

Summary

This is the summary of UniProt entry Q4DZA9_TRYCC (Q4DZA9).

Description: DNA-directed RNA polymerase subunit {ECO:0000256|RuleBase:RU004279}
Source organism: Trypanosoma cruzi (strain CL Brener) (NCBI taxonomy ID 353153)
Length: 1553 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
Pfam RNA_pol_Rpb1_1 25 359
low_complexity n/a 254 277
disorder n/a 274 282
disorder n/a 340 343
Pfam RNA_pol_Rpb1_2 361 529
disorder n/a 422 423
disorder n/a 435 441
Pfam RNA_pol_Rpb1_3 532 704
low_complexity n/a 651 664
Pfam RNA_pol_Rpb1_4 729 836
Pfam RNA_pol_Rpb1_5 843 1458
disorder n/a 915 916
disorder n/a 949 974
low_complexity n/a 961 970
low_complexity n/a 976 981
disorder n/a 1019 1043
disorder n/a 1094 1097
disorder n/a 1156 1157
low_complexity n/a 1225 1236
low_complexity n/a 1520 1530

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession Q4DZA9. 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
MPGEGAAAPL LLPQQFVEPL PNAPVEIRAL HYGLLSRSDI HRLSVLPCRR
50
51
VIGAVKEYGV NDPRLGVCDR VSFCATCGLR SIDCVGHPGH IDLETPVFHL
100
101
GFFTTILRIC RTICKRCSHL LLDDAEIEYY KRRLSSTKLE PLQRAALVKT
150
151
IQREAYKTRV CLKCGGLNGD VRRVRPLRLV HEKYRVEPRR GEESVEGVET
200
201
FFDYELRAAC AYNKVVEESK ENVHEFLDPA RVRQMFLAVP PDEVLLLGLL
250
251
PGTSPVDLLV TTLLVPPVSV RPRGSSGTAN IRDDDLTGQY NDILISSDTL
300
301
QDGSIDASKY TETWEMLQMR AARLIDSALP GFPPHMRTAD VKSYAQRLKG
350
351
KHGRFRGNLS GKRVDFSGRS VISPDPNLDV DELAVPLRVA RVLTYPQRVF
400
401
KSNLELMRRL VRNGPNVHPG AVAVYLAQEG SKKSLNHERD RESLSARLSI
450
451
GDVVERHVMN GDVVLFNRQP SLHRISMMAH RARVLPFRTF RFNECCCAPY
500
501
NADFDGDEMN VHLVQTEEAR AEAFELMLTA KNIINAKNGE PIIACTQDFL
550
551
VAAYLVTSRD VFFDRSQMSW MVSHWLGPVT QFRLPIPTIL KPTELWTGKQ
600
601
VFELILRPSP EVNVLLNLEA ATKFYTKKGR HDCAAEGYVA FLDSRFISGR
650
651
LDKKLLGGGA KDGLFARLHT LSGGGYTARI MSRIAQFTSR YLTNYGFSLG
700
701
LGDVAPTPLL NEQKAAVLAR SFATCDSLIE SAKTGRMEPL PGLTVRQSLE
750
751
ARLNAELSKV RDECGTAAVE TLSVDTNTPL MMVQSGSKGS ALNIAQMMAC
800
801
VGQQTVSGKR ILNAFQDRSL PHFYRFEEAP SARGFVANSF YSGLTPTEFF
850
851
FHTMAGREGL VDTAVKTAET GYIYRRLMKA MENLSVRYDG TARNTRGDVV
900
901
QFRFGEDGLD PQLMEGVGGT PLNLDQEWLS ARAAYARWIV ERCNTLNDAS
950
951
RNDNHTDGSS RRDRRRNERD VKKTFDPDDD DEFISLLPTE VPAFVMACLS
1000
1001
GDSGALEVCE RLERLDEEKN VNVREMDGKS SDEGMRQQER TRRAGLISRL
1050
1051
ASVSSSKFKE DVANFFQKKV KEQKRIRALL EISSTSREGK SRKTLCNSLQ
1100
1101
TAHVEGNHAE LRILEKLQTE LLPLTYGMIT RFLAQCASKY ILKACEPGTP
1150
1151
CGAIAAQSVG EPSTQMTLRT FHFAGVASMS ITQGVPRLVE IINANRNIAT
1200
1201
PVVTAPVRRH RRGKSLSIKQ EVVGESCEED SQEEFEKRVR RVKSQVERVL
1250
1251
LKEVASEIVE VCTSTEFYLR VHLNMSLIAK LWLPINAITV RQRILAAAAR
1300
1301
PMSPLRLLRE ECVEVVSLDT LAVRPYFLEA HRVHFNLRHV LALLPDVVVG
1350
1351
GIAGINRAMI SSNGAEVLAE GAELRAVMNL PEVESTRVVC NHVAVVERVL
1400
1401
GIEAARQVIV NEIQGILKAY SLSIDIRHIY LLADLMTQRG VVLGITRYGI
1450
1451
QKMNFNVLTM ASFERTTDHL YNAAATQRVD ENLSVSESII IGKPVPLGTT
1500
1501
SFSLLLDCCE AGARSLQFAG SRTRRGTGRS FHHVRRPRTL LLAAEDTFHL
1550
1551
DLF                                                   
1553
 

Show the unformatted sequence.

Checksums:
CRC64:C21843FC340D2113
MD5:7d0dbbfc5b1538d9e69ea75dc212daf7

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;