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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: A0A0B4KFS5_DROME (A0A0B4KFS5)

Summary

This is the summary of UniProt entry A0A0B4KFS5_DROME (A0A0B4KFS5).

Description: Aspartyl beta-hydroxylase, isoform L {ECO:0000313|EMBL:AGB93552.1}
Source organism: Drosophila melanogaster (Fruit fly) (NCBI taxonomy ID 7227)
Length: 991 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
disorder n/a 1 42
low_complexity n/a 8 20
transmembrane n/a 54 72
low_complexity n/a 56 72
disorder n/a 75 84
disorder n/a 88 89
disorder n/a 91 343
low_complexity n/a 115 168
low_complexity n/a 177 192
low_complexity n/a 191 235
coiled_coil n/a 237 257
low_complexity n/a 241 258
low_complexity n/a 276 297
low_complexity n/a 320 337
disorder n/a 364 448
low_complexity n/a 395 407
low_complexity n/a 406 433
coiled_coil n/a 412 436
disorder n/a 453 525
low_complexity n/a 470 481
low_complexity n/a 504 523
disorder n/a 527 528
disorder n/a 533 578
low_complexity n/a 542 550
low_complexity n/a 555 567
Pfam Asp_Arg_Hydrox 824 978
disorder n/a 936 938

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession A0A0B4KFS5. 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
MSGDVQPRKR KDKRRKRDDD ESSHGVHITK MGNEDLHLHV HHDHGTGGHW
50
51
CAKIIFFALM AVLLGLVGLI IMENRGLEDL DTPLSESRFS KVFDGWVDEH
100
101
RDEHDGHDVQ EPSGEALDDH DEHDDHDDHE DEEPLTEELE EELEEEEEPT
150
151
EEDEPAADEE YEEDEDEENN AGENITAEDA EEEEEEEDND DEGTVEATVE
200
201
ATTEATTEAT GEYEAEEDDE DEAAADDDAV ESTEAPLSKA EEQEDDEDED
250
251
EEEQEIEESV EPERSQYAAQ SAPAKDNNDD DDDDDQDKND ADDGDDDEFE
300
301
SLAQQFENDP EDTVPAKAVE SEEQDQDQAD EEEPKEEGSS WLASLAVKFG
350
351
VGVALALVSR LVLIRKSPNT TEDEPAPETI FRRRLTIATA EDHIPDDVEE
400
401
LPPLDDEYSE EEIEIEEEIE VEISDIEEEE EEVRHDNDDN VASMASYVPE
450
451
TFEQLSAMYK YAQEPTKDAK PEQKEKEPEK PVGHSDIYVE YEDGAIEDYE
500
501
HDGVSDEEIT DEEDEISDVD DADLMNRLEA KYGRLPVKEF ESDPDSDDPS
550
551
WTQIKPKEAA PAPAEKEDPF EQELRKANEE MIRENYAQAL RSFNTLTTNF
600
601
AHEPSAHLGR ARLLELLAKK ERSNQRLWEA IDAYKRYLAF GELVASNQEF
650
651
QTAGESCIEN LRFLGHHRQA TTIHELLINR LPEDPRLRNQ LSLTYLMVNN
700
701
LQQVEKVAVE TLKLWPNNAV AQLHYGLALR QFHADYAKAL PYLKYAVESG
750
751
EEGTQEAFFY LSLGETMQRL SMKSEALEVY GKGVAKGFFA SLYQRSLYNE
800
801
PRLRAQPFWQ PKETGYERQL EKLTLNWRAI RDEGLALLGR SGFFEDEAEL
850
851
LRDKGVWQQY ELYAQGRRVK DNCRRAPITC SLLEEFPESA GCRRGQVKFS
900
901
VMQAKTHVWP HCGPTNCRLR AHLTLAAPEP EKASLRVAEQ ERTWREGELF
950
951
IFDDSFEHEV WHNGSQSRLV LILDMWHPQL SAAQRRSLSP I         
991
 

Show the unformatted sequence.

Checksums:
CRC64:300A7E66BF5BF2C4
MD5:a92a9879eafec722b6bcb6427379c859

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;