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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: GDT14_ARATH (Q9C6M1)

Summary

This is the summary of UniProt entry GDT14_ARATH (Q9C6M1).

Description: GDT1-like protein 4
Source organism: Arabidopsis thaliana (Mouse-ear cress) (NCBI taxonomy ID 3702)
Length: 230 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 UPF0016 9 83
transmembrane n/a 12 32
transmembrane n/a 39 58
transmembrane n/a 70 88
low_complexity n/a 77 91
low_complexity n/a 93 112
disorder n/a 115 128
transmembrane n/a 135 155
Pfam UPF0016 146 220
transmembrane n/a 175 195
transmembrane n/a 207 225

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession Q9C6M1. 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
MSSVLQGFTK SLAMTFVSEI GDKTFFAAAI LAMRYPRRLV LAGCLSALIV
50
51
MTILSATLGW AAPNLISRKW THHITTLLFF GFGLWSLWDG FKEGGGGSEE
100
101
LAEVEAELDA DLKANGKSPK DSSKREDENK KQNRAFLTQF FSPIFLKAFS
150
151
INFFGEWGDK SQLATIGLAA DENPFGVVLG GVVAQFLCTT AAVIGGKSLA
200
201
SQISERIVAL SGGMLFIIFG IQSYLTSVEA                      
230
 

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Checksums:
CRC64:387B5F42B5D783DB
MD5:e7f9c335ca06177a297e371bbc972185

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;