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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: A0A0R0HDJ1_SOYBN (A0A0R0HDJ1)

Summary

This is the summary of UniProt entry A0A0R0HDJ1_SOYBN (A0A0R0HDJ1).

Description: Chorein_N domain-containing protein {ECO:0000259|Pfam:PF12624}
Source organism: Glycine max (Soybean) (Glycine hispida) (NCBI taxonomy ID 3847)
Length: 1215 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 Chorein_N 1 112
disorder n/a 100 111
disorder n/a 147 149
disorder n/a 218 220
disorder n/a 224 225
disorder n/a 871 872
disorder n/a 897 912
disorder n/a 973 974
disorder n/a 976 981
disorder n/a 1147 1150
disorder n/a 1152 1156
disorder n/a 1158 1160
coiled_coil n/a 1160 1180
coiled_coil n/a 1194 1214

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession A0A0R0HDJ1. 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
MESILGRALE YTLKHWLKSF SRDQFKLQGR TVQLYNLDLN GDVLHSSVGF
50
51
PPALNVTAAK VGKLEITLPS VSNVQIEPII VQIDRLNLVL EENFDFEPSE
100
101
TQPSCSPSSA TTKGSGYGFA DKIADGMTIQ IDTVNLLLET RGSASRQGGA
150
151
TWTPPMASIT IHNLLLYTTN ESWEVVNLKE AREFSSNKKY IYVFKKLEWE
200
201
SLSIDLLPHP DMFTDATLGR SQEGANLRDE DGAKRVLFGG ERFIEGISGE
250
251
AYITIQRTEL NSPFGLEVQL HVTEAVCPAL SEPGLRALLR FITGLYVCLN
300
301
RGNVDFKAQQ RSTEAAGRSL VSIVVDHIFL CIKDAEFQLE LLMQSLYFSR
350
351
ASLSEGDSDS NLTRITVAGL FLRDTFSFPP STLVQPSMQS VTGDAFQVPA
400
401
FARSFCPPIY PLGEQQWLSI VGTPLICLHS IQIVPSPLPP SFASQTVIDC
450
451
QPLMIHLQEE SCLTISSFLA DGIVVNPGDI LPDFSVKSFI FTLKGLDLTV
500
501
PLDKTQLDNS ETNMDNKIKT SFAGARLHIE NLFFLDSPSL KLKILNLEKD
550
551
PACFCLWEDQ PIDASQKKWT AGVSQLTLSL EASTGKLGHQ NSLGWTAGLW
600
601
RCVNLRDASI EVAMVTADGN PLLKVPPPGG IVRVGIACEQ YLSNTSVEQL
650
651
FFVLDLYAYF GRVSEKIAIA GKKKQLKDVR NKSFSGKLMD KIPSDTSVTL
700
701
TLKNLQLQFL EPSSVNAEGM PLAQFVGDDL SFSATHRTLG GAIVVSSTLN
750
751
WETVVIDCVD SKEPLACEKD SYFSTVENVP SISDVGYPKL RPVFWVHNKK
800
801
ELLNGNAHSY PFLDISVVHV VPFCIVDMES HTLNVSAVVS GVRLGGGVNY
850
851
FEALLHRFGI LGPDGGPGKC LSKGLENLQT GPLAKLFKAT PLISDNSENV
900
901
ETAGEGRDTS FPNLKNPDIV DVTIELKDWL FALEGAQEMA ERWWFSVHED
950
951
VKREERYWHT TFHTLRVNAK SCPKNIPDRK SQSRRIQPYP VELVTVGVQG
1000
1001
LQIMKPHTQK DIPMSLITVN GVKEFTEKIG GTDLEVSLIL SEDNEHELVN
1050
1051
WEVENLKFFI RQPNEAVVTK EEVQHLTFLC KSEIDSAGRI TAGVLRLFKL
1100
1101
EGSVGQSAID QLGNLGSEGI NKIFSPEKHS LDGSVCSCGG FSPLQNLTNE
1150
1151
SPSKTMEPTL ALLEEAVADS KAKINSLMTD IGTSESSFQH LTVVKDLSQK
1200
1201
IESLQGLVLQ LREQL                                      
1215
 

Show the unformatted sequence.

Checksums:
CRC64:8F4D1B480D3B9D79
MD5:dd80761bb08ec9211c04d90dc0b17208

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;