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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: Q54KA0_DICDI (Q54KA0)

Summary

This is the summary of UniProt entry Q54KA0_DICDI (Q54KA0).

Description: PKS_AT domain-containing protein {ECO:0000259|SMART:SM00827}
Source organism: Dictyostelium discoideum (Slime mold) (NCBI taxonomy ID 44689)
Length: 1264 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 ketoacyl-synt 5 120
low_complexity n/a 17 40
low_complexity n/a 264 278
disorder n/a 274 275
disorder n/a 277 278
low_complexity n/a 342 356
low_complexity n/a 367 384
Pfam Acyl_transf_1 391 718
disorder n/a 597 598
Pfam NAD_binding_4 894 1141
low_complexity n/a 977 987

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession Q54KA0. 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
MIKGNNVVII GVGFRFLKNN TYINNINELL ENKIQNELKE IKSSDSISNE
50
51
IKEFDSSLFF KLDESKDKIS EKQILLLKCI WESMENANID PTNLQTSIKT
100
101
SVLIGSDQYE PGMPDSIRVS QAFNLKGECL TNNGVGSIVA SLKFGYKSIF
150
151
FGDSKIAIIG GSNRNKNGEI EQVGAFILKG LEDAIADNDN IYCSVRDINE
200
201
ISDLEIPRTD NRYSVNKISE SVGIISMIKS FLKFENISKS KLIFNTIVYG
250
251
PYHSPSFIFS KHFENNYNNN KEIIYNKNIS REEDQPSPSL IYKVESQNYL
300
301
IPFSANSINS LKKVQSIIIE DKNNEFQSTI PFKDFVKHQI NSRSIKLKSK
350
351
SIIIAKDWDE LKNIQTSINY SPILNYSNNN NNINDDESVN VFVFCGQGPQ
400
401
YITMMDDLYN NEVFFKKSAD LINEKLIKYL GFSPLEKLKS IADCSNLINE
450
451
STISQPLLFI FNISLFELYK HWGIKPSIIV GHCIGEVFAA YCSGMFDLET
500
501
ACLLVSQRGI AQDSTNGIGK MLSLSIGKNE YQSIIPIENY PNVEFSCFNS
550
551
PNSIVIGGPE HDLNEISKIL LNNGVTATML SSLASCHTSS QNKTREHLTN
600
601
LKFKHQQPIV PTFSTVNTKL FDNESTKFDS THLFNCIALP VYFDETISNI
650
651
YKYIEDNQLG SKVTFFEMAP HPSLSNYLKE MIPISSKYFN DGDSVSVYSP
700
701
CHKRKNHHQE FQKTLIDLYL NNFNIDFNCQ FGGENRYDKS FKKNTTKLPF
750
751
YQWCDKSIEI NESSKDDSNI TFEQLFFKKS AQFIKFSDES LIDRNERLIR
800
801
YGADSLIIVQ IKNWVDRYLK VKNLVTIQQL QNNSINDSII LIEQKYKEFL
850
851
DGKLISKLEM TKEERKQFWE NEMKLDPSIQ HLKIVKENDK RVFITGTTGF
900
901
LGAHMLVHLL KLSNCSVTYC LLRNKSNSTN PINEIINNLK HHKVYDQLNQ
950
951
IQLSKIVPVI GDLAKARLGL SDKDYSLIAN NANLIINSGA DLNLESDYNS
1000
1001
NKPVNVDGIV EIIKLSISDH INGIQKPIVN FSTFTVFINQ SLNGEEFDES
1050
1051
ILPSLDNIDN LPAGYMQSKV VGEYLLIEAA RRGIPSMLIR PPSIFSHPET
1100
1101
GVGLSSDFFQ LSVQCCYATG YYPDVDMKVL LTPVDWVSDN TMNLILTDKC
1150
1151
WDESNHGKLN IYNVYGDITA PKDIYGPMNK IYNCKPIAFG KWRQMIMDSD
1200
1201
VLSCVKFRSF HSMDFHEKHN IDKGLNLSKR TKNLLKSIGS YNENWKVNEK
1250
1251
MIISHINYIF NNNN                                       
1264
 

Show the unformatted sequence.

Checksums:
CRC64:DF138590A2C5265C
MD5:38d152b8fe3fd18801dbe754cafd0cdc

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;