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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: I1NFW0_SOYBN (I1NFW0)

Summary

This is the summary of UniProt entry I1NFW0_SOYBN (I1NFW0).

Description: Uncharacterized protein {ECO:0000313|EMBL:KRG91000.1, ECO:0000313|EnsemblPlants:KRG91001}
Source organism: Glycine max (Soybean) (Glycine hispida) (NCBI taxonomy ID 3847)
Length: 276 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
sig_p n/a 1 23
low_complexity n/a 38 53
Pfam Cyclase 62 220
disorder n/a 99 101
disorder n/a 103 107
low_complexity n/a 130 147

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession I1NFW0. 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
MNSLSLFTFL CAICAHSVAV TSAAYPSIPG TETGECSLRG VGVGDGVLVP
50
51
PRREVYEEGR IFDITHRYVP EMPVWDSTEG LGQHFLWLEK SMKNGSRANN
100
101
SNMKLGVHTG THVDAPGHFY DNYYDAGFDV DSLDLTLLNG LALLVDVPRD
150
151
KNITAEVMKS LNIPRGVSRV LFRTLNTDRQ LMFKKEFDTS YVGFKEDGAK
200
201
WLAENTDIKL VGVDYLSVAA YDHSIPSHLV FLESKEIILV EGLKLDDVPA
250
251
GIYSLNCLPL RLVHSEASPI RCILIK                          
276
 

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Checksums:
CRC64:25D429EB175F80DD
MD5:ebbbf51f7e9ccebb58b390512d717512

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;