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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: A0A0D2DME9_9EURO (A0A0D2DME9)

Summary

This is the summary of UniProt entry A0A0D2DME9_9EURO (A0A0D2DME9).

Description: Unplaced genomic scaffold supercont1.5, whole genome shotgun sequence {ECO:0000313|EMBL:KIW78871.1}
Source organism: Fonsecaea pedrosoi CBS 271.37 (NCBI taxonomy ID 1442368)
Length: 1032 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 HATPase_c_3 22 152
low_complexity n/a 79 90
disorder n/a 203 205
Pfam DNA_mis_repair 217 351
disorder n/a 247 250
disorder n/a 252 253
disorder n/a 261 265
disorder n/a 276 277
disorder n/a 343 345
disorder n/a 347 363
disorder n/a 374 558
low_complexity n/a 380 392
low_complexity n/a 401 413
low_complexity n/a 478 492
disorder n/a 560 567
disorder n/a 572 701
low_complexity n/a 671 681
disorder n/a 703 707
disorder n/a 709 733
disorder n/a 761 793
Pfam MutL_C 804 968
disorder n/a 943 944
disorder n/a 987 988

Show or hide domain scores.

Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession A0A0D2DME9. 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
MATIKAIEAR SVHQIQSGQV IVDLCSVAKE LVENSLDAGA TTVEVRFKNH
50
51
GLDSIEVQDN GSGIAPANYD TLALKHYTSK LSSFDDLSSL QTFGFRGEAL
100
101
SSLCALSKFS VVTAQADEVP KGKRLDFDSL GKLKSVTVVA AQRGTTASVE
150
151
NLFESLPVRR KELTKNIKRE YNKVLGLLQA YACIGVNVKF TVKNTMPKSK
200
201
SMMVFSTKGN ATTRENIANV YGAKTLSALV ALDLELDYQP TLTQMARKDK
250
251
HTNIRVRGHI SKPVFGEGRQ TPDRQMFFVN GRPCGLPQIA KAINEVYKAF
300
301
NVSQSPFIFA DLQMDTNAYD VNVSPDKRTI LIHDSASLVE SLKTALNEMF
350
351
DQQEQTVPQS QLVTSQLPAF QKLGFLRQPS SSSPESASRQ TSFSDHPAPV
400
401
DDDEDGDRFD EDESRTASVM DDLQKFSRTA KDVGSSEILQ PQKVAPRERP
450
451
AEKALEEIVR QHTPTNESLE EDDDQEVIET EEILQQSEEE EEASQFDPVK
500
501
LHVSDFNARM AEAQPRLNYQ ATIRQDDGRQ TEEIKAIVPA KTGLEKGPVQ
550
551
NAFDRMRPKR LSEEVATFTI GDKTFTTVLG SQSPKSLEKR DIPGSLRSAI
600
601
SPQRRTKSPG AFQFSQKLRR FGAQGSNIPD EEEGDSDAQS DAELVDADSE
650
651
TTEDFPAEHE SDLDQQSVGN EDLAEDELEA APDTEGESDA DYIDDEEKKR
700
701
IEEAKVAELI QAAEASSTVP TKENLKRAMK ALAGGRAKES TTNLLATIEF
750
751
SISSISSQMR QYVRPVDSSM SRRSSQVDGK DNDVEDPETS LSLTVSKPDF
800
801
AQMRIVGQFN LGFILGVRPA KKSAVTKTQA TQDELFIIDQ HASDEKYNFE
850
851
RLQAETIVGN QRLVRPVILD LTAVEEEIVL ENNEALEKNG FLVEIDTSGD
900
901
KMVGQRCRLV SLPLSKEVVF GMKDLEELIQ LLADTPVGGS SDIPRPSKVR
950
951
KMFAMRACRS SIMIGKTLSR RQMQKVVANM GTIDKPWNCP HGRPTMRHLC
1000
1001
SLDTLQPWCE GDDEGAGATS LGVALHRFVA ED                   
1032
 

Show the unformatted sequence.

Checksums:
CRC64:BF105A65B096C60C
MD5:2b4403ff48542c84b560ce7a1348071f

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;