Please note: this site relies heavily on the use of javascript. Without a javascript-enabled browser, this site will not function correctly. Please enable javascript and reload the page, or switch to a different browser.
0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: F1Q6N0_DANRE (F1Q6N0)

Summary

This is the summary of UniProt entry F1Q6N0_DANRE (F1Q6N0).

Description: 116 kDa U5 small nuclear ribonucleoprotein component {ECO:0000256|ARBA:ARBA00018774}
Source organism: Danio rerio (Zebrafish) (Brachydanio rerio) (NCBI taxonomy ID 7955)
Length: 973 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.

Show or hide the data used to generate the graphic in JSON format.

Source Domain Start End
disorder n/a 1 62
Pfam EFTUD2 3 111
low_complexity n/a 16 50
disorder n/a 65 96
Pfam GTP_EFTU 128 441
disorder n/a 461 463
disorder n/a 469 470
Pfam GTP_EFTU_D2 490 567
disorder n/a 563 565
Pfam EFG_III 585 657
Pfam EFG_IV 704 825
Pfam EFG_C 827 916

Show or hide domain scores.

Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession F1Q6N0. 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
METDLYDEFG NYIGPELDSD EDEELDAEDR DADEADEEDD DDDQAEADED
50
51
GGGGGMEVVL HEDKKYYPTA EEVYGPEVET IVQEEDTQPL TEPIIKPVRM
100
101
KQFTLMEQEL PATVYDMEFL ADLMDSSELI RNVTLCGHLH HGKTCFVDCL
150
151
IEQTHPEIRK RDDEDLRYTD ILFTEQERGV GIKSTPVTMV LPDSRGKSYL
200
201
FNIMDTPGHV NFSDEVTSAV RLSDGIVLFI DAAEGVMLNT ERLIKHAVQE
250
251
RLAITICINK IDRLIVELKL PPTDAYYKLR HIVDEVNGLL STYSTDESLI
300
301
VSPLLGNVCF ASSQYCICFT LGSFAKIYSD TYGDISYMEF AKRLWGDIYF
350
351
NPKTRKFTKK APNSNSQRSF VEFVLEPLYK ILSQVVGDVD TSLPRVLDEL
400
401
GIHLTKEELK LNIKPLLRLV CNRFFGEFTG LVDMCVQHIP SPQGGARAKI
450
451
EHTYTGGLDS DLGETMSECD PDGPLMCHTT KMYSTDDGVQ FHAFGRVLSG
500
501
TLQAGQPVKV LGENYSLEDE EDSQICTVGR LWISVARYQI EVNRVPAGNW
550
551
VLIEGCDQPI VKTATITEPR GNEEAQIFRP LKFNTASVIK IAVEPVNPSE
600
601
LPKMLDGLRK VNKSYPSLTT KVEESGEHVI LGTGELYLDC VMHDLRKMYS
650
651
EIDIKVADPV VTFCETVVET SSLKCFAETP NKKNKITMIA EPLEKGLAED
700
701
IENEVVQITW NRKKLGEFFQ TKYDWDLLAA RSIWAFGPDT TGPNILVDDT
750
751
LPSEVDKALL GSVKDSIVQG FQWGTREGPL CDEPIRNVKF KILDAVIAQE
800
801
PLHRGGGQVI PTARRVVYSA FLMATPRLME PYYFVEVQAP ADCVSAVYTV
850
851
LARRRGHVTQ DAPIPGSPLY TIKAFIPAID SFGFETDLRT HTQGQAFALS
900
901
VFHHWQIVPG DPLDKSIVIR PLEPQPAPHL AREFMIKTRR RKGLSEDVSI
950
951
SKFFDDPMLL ELAKQDVMLN YPM                             
973
 

Show the unformatted sequence.

Checksums:
CRC64:6E1819347B0DD972
MD5:b4934f56c1c86971de8ddf172d89af0c

TreeFam

Below is a phylogenetic tree of animal genes, with ortholog and paralog assignments, from TreeFam.

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;