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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: YAHB_ECOLI (P77700)

Summary

This is the summary of UniProt entry YAHB_ECOLI (P77700).

Description: Uncharacterized HTH-type transcriptional regulator YahB
Source organism: Escherichia coli (strain K12) (NCBI taxonomy ID 83333)
Length: 310 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 HTH_1 8 66
Pfam LysR_substrate 90 292
low_complexity n/a 140 152
disorder n/a 270 272
disorder n/a 274 275

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession P77700. 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
MNSIFTEENL LAFTTAARFG SFSKAAEELG LTTSAISYTI KRMETGLDVV
50
51
LFTRSTRSIE LTESGRYFFR KATDLLNDFY AIKRRIDTIS QGIEARVRIC
100
101
INQLLYTPKH TARLLQVLKK QFPTCQITVT TEVYNGVWDA IINNQANIAI
150
151
GAPDTLLDGG GIDYTEIGAI RWAFAIAPDH PLAFVPEPIA ESQLRLYPNI
200
201
MVEDTAHTIN KKVGWLLHGQ ESILVPDFNT KCQCQILGEG IGFLPDYMVR
250
251
EAMTQSLLVT RQIHNPRQDS RMLLATQHSA TGQVTQWIKK QFAPNGILTG
300
301
IYQDLLHREN                                            
310
 

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Checksums:
CRC64:A3EB895E7F69D60C
MD5:bf3a36c82504415bbb000c2636d22a7e

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;