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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: Q7KQL1_PLAF7 (Q7KQL1)

Summary

This is the summary of UniProt entry Q7KQL1_PLAF7 (Q7KQL1).

Description: Pre-mRNA-splicing factor CEF1, putative {ECO:0000313|EMBL:CZT98593.1}
Source organism: Plasmodium falciparum (isolate 3D7) (NCBI taxonomy ID 36329)
Length: 915 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 Myb_DNA-bind_6 10 70
low_complexity n/a 59 76
Pfam Myb_DNA-bind_6 62 118
disorder n/a 112 181
low_complexity n/a 160 171
low_complexity n/a 172 183
disorder n/a 192 202
disorder n/a 204 211
disorder n/a 230 282
low_complexity n/a 307 324
disorder n/a 365 367
disorder n/a 406 410
disorder n/a 414 423
disorder n/a 426 459
low_complexity n/a 438 462
coiled_coil n/a 466 502
disorder n/a 474 500
Pfam Myb_Cef 509 721
disorder n/a 528 548
disorder n/a 574 575
disorder n/a 577 619
coiled_coil n/a 587 621
low_complexity n/a 605 625
disorder n/a 677 678
disorder n/a 710 715
disorder n/a 719 732
disorder n/a 736 744
disorder n/a 746 752
low_complexity n/a 787 808
coiled_coil n/a 802 822
low_complexity n/a 873 885

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession Q7KQL1. 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
MRIQIKGGIW KNCEDEVLKA AVMKYGLNNW SRVASLLVRK SAKQCKARWY
50
51
EWLDPSVRKT EWNKEEEEKL LHLAKLFPTQ WRTIAPIVGR TAQQCLEHYE
100
101
YLLDEAEGKV YDKNKNPRHL RPGEIDPAPE SKPARADPVD MDEDEKEMLA
150
151
EAKARLANTK GKKAKRKARE KQLEQARRLA LLQKKRELKA AGITSLNYKR
200
201
KDKNKIDHSK EILFHRKPLK GFYDVKDEQN INDDIYENNK TNQKKSIKSM
250
251
DVENINDAME YNKNKGKRQH QHNNNEEANL LSTIENYDKQ FNELSHLRKR
300
301
VRLNLPEPIL NENEIDEIIQ INKEASAFND IIKDQNDKLP INNILPSIES
350
351
SSFILNNKDK FSNLETDFYN NNNNKSIAFS SKLDLSIQQA AKNIISRKMN
400
401
IPFIGMNNDY NEEEFERKNN IFQKSNKNVP DDLEYDDTNN YHNNNNNNNN
450
451
NTSFNSIKNS TTLYNHLDVE KNIKDVQEEI EKQKKLNEED QQKNQKEKLT
500
501
IKNKIISDIK SFKKNISLYA HSIISYKNLK NDQSMMDNQT IQTTEYYDDN
550
551
YEEKIDRAKL HIKASLANLP QETNLIELQL NEEHPECDTD NIEKDEIEKD
600
601
IQDIENEKRK NEERKEKEKF NKQNKIIRWN LPRPYFLDKI NLFNNYMHNE
650
651
YEDVHNLIQR EMLLLIKNDM FNYPLRNSTP VQNKVHVEDL ENVYMNMAMK
700
701
SINEEFEDMY GEASLNNNTK DDSNIDGCDE KSDNIDGCDE KSDTTNKGDD
750
751
TSQCSIEHSS YNHIDVWEEI NKNIIFCPSK NAYRFIEDVN ENDKKENYKY
800
801
KCEKLKNLIL NDMEHYKKLE NKYDIYTKGY QLKIKSYKKS YDTLFNSYIN
850
851
CINEKEALNV LHENEKIYAL TRIKEEKKEN KKEIEYHKSL QKFYQDLLET
900
901
NHQLKETCKQ TLKVP                                      
915
 

Show the unformatted sequence.

Checksums:
CRC64:0CDA742012048DF5
MD5:102f6cb37e0d0155bb0b3a0f6fdd94d8

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;