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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: I1MNK1_SOYBN (I1MNK1)

Summary

This is the summary of UniProt entry I1MNK1_SOYBN (I1MNK1).

Description: Uncharacterized protein {ECO:0000313|EMBL:KRH08349.1, ECO:0000313|EnsemblPlants:KRH08349}
Source organism: Glycine max (Soybean) (Glycine hispida) (NCBI taxonomy ID 3847)
Length: 202 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 WCOR413 10 191
transmembrane n/a 51 69
transmembrane n/a 76 94
transmembrane n/a 100 115
transmembrane n/a 122 140
transmembrane n/a 146 162
transmembrane n/a 182 201

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession I1MNK1. 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
MGRILQEYVA MKTDAVVASL IDYDIEELKV AANKLLHDAT MLGGKGFGTS
50
51
FFKWIASFAA IYLLILDSTN WRTNMLTALL VPYIFFSFPE SLFHFLRGEV
100
101
GKWIAFIAVV LRLFFPRHFP DWLEIPGSMI LILTVAPDIF AHRLRNNWIG
150
151
LAIDLFIGCY LLQEHIRATG GFRNSFTQKH GISNTLGILL LIVYPICAFI
200
201
IH                                                    
202
 

Show the unformatted sequence.

Checksums:
CRC64:2E57919E0A88E904
MD5:07f6651250666e6692b6384dfa24f617

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;