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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: IYO_ARATH (Q8GYU3)

Summary

This is the summary of UniProt entry IYO_ARATH (Q8GYU3).

Description: Transcriptional elongation regulator MINIYO {ECO:0000303|PubMed:21620701}
Source organism: Arabidopsis thaliana (Mouse-ear cress) (NCBI taxonomy ID 3702)
Length: 1465 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 1 100
low_complexity n/a 34 49
low_complexity n/a 78 84
disorder n/a 103 151
low_complexity n/a 144 162
disorder n/a 153 162
disorder n/a 170 172
disorder n/a 178 183
disorder n/a 185 201
disorder n/a 203 231
Pfam RPAP1_N 209 254
low_complexity n/a 246 258
disorder n/a 257 283
Pfam RPAP1_C 318 397
disorder n/a 339 341
low_complexity n/a 815 826
low_complexity n/a 936 947
low_complexity n/a 961 973
low_complexity n/a 966 977
low_complexity n/a 984 997
disorder n/a 1107 1108
disorder n/a 1112 1136
low_complexity n/a 1121 1134
disorder n/a 1159 1168
low_complexity n/a 1180 1204
low_complexity n/a 1447 1461

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession Q8GYU3. 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
MEQSSGRVNP EQPNNVLASL VGSIVEKGIS ENKPPSKPLP PRPSLLSFPV
50
51
ARHRSHGPHL APVGSSIAQP KDYNDDQEEE EAEERFMNAD SIAAFAKPLQ
100
101
RKEKKDMDLG RWKDMVSGDD PASTHVPQQS RKLKIIETRP PYVASADAAT
150
151
TSSNTLLAAR ASDQREFVSD KAPFIKNLGT KERVPLNASP PLAVSNGLGT
200
201
RHASSSLESD IDVENHAKLQ TMSPDEIAEA QAELLDKMDP ALLSILKKRG
250
251
EAKLKKRKHS VQGVSITDET AKNSRTEGHF VTPKVMAIPK EKSVVQKPGI
300
301
AQGFVWDAWT ERVEAARDLR FSFDGNVVEE DVVSPAETGG KWSGVESAAE
350
351
RDFLRTEGDP GAAGYTIKEA IALARSVIPG QRCLALHLLA SVLDKALNKL
400
401
CQSRIGYARE EKDKSTDWEA IWAYALGPEP ELVLALRMAL DDNHASVVIA
450
451
CVKVIQCLLS CSLNENFFNI LENMGPHGKD IFTASVFRSK PEIDLGFLRG
500
501
CYWKYSAKPS NIVAFREEIL DDGTEDTDTI QKDVFVAGQD VAAGLVRMDI
550
551
LPRIYHLLET EPTAALEDSI ISVTIAIARH SPKCTTAILK YPKFVQTIVK
600
601
RFQLNKRMDV LSSQINSVRL LKVLARYDQS TCMEFVKNGT FNAVTWHLFQ
650
651
FTSSLDSWVK LGKQNCKLSS TLMVEQLRFW KVCIHSGCCV SRFPELFPAL
700
701
CLWLSCPSFE KLREKNLISE FTSVSNEAYL VLEAFAETLP NMYSQNIPRN
750
751
ESGTWDWSYV SPMIDSALSW ITLAPQLLKW EKGIESVSVS TTTLLWLYSG
800
801
VMRTISKVLE KISAEGEEEP LPWLPEFVPK IGLAIIKHKL LSFSVADVSR
850
851
FGKDSSRCSS FMEYLCFLRE RSQDDELALA SVNCLHGLTR TIVSIQNLIE
900
901
SARSKMKAPH QVSISTGDES VLANGILAES LAELTSVSCS FRDSVSSEWP
950
951
IVQSIELHKR GGLAPGVGLG WGASGGGFWS TRVLLAQAGA GLLSLFLNIS
1000
1001
LSDSQNDQGS VGFMDKVNSA LAMCLIAGPR DYLLVERAFE YVLRPHALEH
1050
1051
LACCIKSNKK NISFEWECSE GDYHRMSSML ASHFRHRWLQ QKGRSIAEEG
1100
1101
VSGVRKGTVG LETIHEDGEM SNSSTQDKKS DSSTIEWAHQ RMPLPPHWFL
1150
1151
SAISAVHSGK TSTGPPESTE LLEVAKAGVF FLAGLESSSG FGSLPSPVVS
1200
1201
VPLVWKFHAL STVLLVGMDI IEDKNTRNLY NYLQELYGQF LDEARLNHRD
1250
1251
TELLRFKSDI HENYSTFLEM VVEQYAAVSY GDVVYGRQVS VYLHQCVEHS
1300
1301
VRLSAWTVLS NARVLELLPS LDKCLGEADG YLEPVEENEA VLEAYLKSWT
1350
1351
CGALDRAATR GSVAYTLVVH HFSSLVFCNQ AKDKVSLRNK IVKTLVRDLS
1400
1401
RKRHREGMML DLLRYKKGSA NAMEEEVIAA ETEKRMEVLK EGCEGNSTLL
1450
1451
LELEKLKSAA LCGRR                                      
1465
 

Show the unformatted sequence.

Checksums:
CRC64:A8077C75D08A8AC6
MD5:5d8b118c62aa1005e57dd6597ab13d9c

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;