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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: K0F386_9NOCA (K0F386)

Summary

This is the summary of UniProt entry K0F386_9NOCA (K0F386).

Description: RNA-binding protein {ECO:0000313|EMBL:AFU04187.1}
Source organism: Nocardia brasiliensis ATCC 700358 (NCBI taxonomy ID 1133849)
Length: 810 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 19
Pfam Tex_N 31 202
disorder n/a 135 140
disorder n/a 147 156
disorder n/a 158 165
disorder n/a 244 259
Pfam Tex_YqgF 335 461
disorder n/a 364 366
low_complexity n/a 424 439
Pfam HHH_3 501 565
disorder n/a 543 544
Pfam HHH_9 571 640
disorder n/a 575 578
disorder n/a 584 585
disorder n/a 630 636
disorder n/a 639 645
Pfam S1 657 730
disorder n/a 691 694
disorder n/a 698 699
low_complexity n/a 704 715
low_complexity n/a 709 720
disorder n/a 727 810
low_complexity n/a 744 755
low_complexity n/a 758 791

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession K0F386. 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
MTTAPETTSA ESQPVSAPAT IVSQASVNRR IADELAVRET QVRAAVELLD
50
51
AGSTVPFIAR YRKEVTGGLD DAQLRQLDER LHYLRELDER RGAILESIRG
100
101
QGKLDDALHQ QIMLAETKAR LEDIYLPYKP KRRTKAQIAR EAGHEPVADA
150
151
LISDPATDPA QYNAEQLDGA RSILVERFAE DADLVGELRE LMWNRGQVTS
200
201
TVRAGKEEAG AKFADYFEFS EPFTKLPSHR ILALLRGEKE EVLTLHLEPD
250
251
TEEPQPGERT IYEGRIAVKF GIADKGRAAD TWLLDTVRWA WRTKLQVSLG
300
301
IDTRMRLRQA AEKDAVDVFA ANLRDLLLAA PAGTRTTMGL DPGYRTGVKV
350
351
AVVDATGKAV ATEVIYPHKP QGQTEKSLAV LGALVARFGV ELIAIGNGTA
400
401
SRETDALAAE LISRIPENKP TKIVVSEAGA SVYSASAYAT QELPDMDVSL
450
451
RGAVSIARRL QDPLAELVKI DPKSIGVGQY QHDVSETLLA RSLGAVVEDA
500
501
VNAVGVDVNT ASVPLLSRVS GIAGSVAESI VAHRDQNGPF RSRTALLDVP
550
551
RLGPKAFEQC AGFLRIRGGD DPLDTSSVHP EAYPVVRRIM ESTGRDITEV
600
601
IGNTTVLRGL RADDFTDERF GVPTVTDIIT ELEKPGRDPR PEFKTAEFAA
650
651
GVEKVADLEP GMVLEGVVTN VAAFGAFVDI GVHQDGLVHV SAMSHNFVKD
700
701
PREVVKSGDV VKVKVLEVDV ARQRIGLSLR LDDEPGAPAK GENRQRGQGG
750
751
DRKGGPERQN GQGRNQQGRN QGQGRNQGQG QSRGGGNQRR NAPAPSGSMA
800
801
DALRRAGFGQ                                            
810
 

Show the unformatted sequence.

Checksums:
CRC64:4B11F897B1554241
MD5:94be6e640ea86369fd271b7e05aa6fd8

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;