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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: A0A1D6N503_MAIZE (A0A1D6N503)

Summary

This is the summary of UniProt entry A0A1D6N503_MAIZE (A0A1D6N503).

Description: Trigger factor {ECO:0000313|EMBL:ONM35711.1}
Source organism: Zea mays (Maize) (NCBI taxonomy ID 4577)
Length: 256 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
low_complexity n/a 68 79
disorder n/a 76 77
disorder n/a 81 85
Pfam Trigger_N 93 239
disorder n/a 135 146
disorder n/a 199 212
disorder n/a 214 215
disorder n/a 227 256

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession A0A1D6N503. 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
MASAATATLP KVQLRPRCNS YFQVRPVLAL PLPSRKFSSS VALLIRSNMP
50
51
STLRLLVSAG GRRTFLPVSA VGSGQGSSVT EADRKSDLSL ENVKTSVVSR
100
101
DGEKINVRVQ LPGKATQKVF DEALTFLARD APPVPGFRKS KGGKTSNNQL
150
151
SRDCAVSVLQ IPSSILLQML GKSRVTKFVL QEILSITIEE FVKKENLKVK
200
201
PEIQTTQSEG EMESAFAPGS AFGFNVVLQL ETPDSDDPEE KPGSDDDLQE
250
251
ESGSSE                                                
256
 

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Checksums:
CRC64:C987658622499D1A
MD5:46740229395c5a346907c4800ab5c924

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;