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Molecular Modeling the Proteins from the exo-xis Region of Lambda and Shigatoxigenic Bacteriophages.

Logan W Donaldson
Published in: Antibiotics (Basel, Switzerland) (2021)
Despite decades of intensive research on bacteriophage lambda, a relatively uncharacterized region remains between the exo and xis genes. Collectively, exo-xis region genes are expressed during the earliest stages of the lytic developmental cycle and are capable of affecting the molecular events associated with the lysogenic-lytic developmental decision. In Shiga toxin-producing E. coli (STEC) and enterohemorragic E. coli (EHEC) that are responsible for food- and water-borne outbreaks throughout the world, there are distinct differences of exo-xis region genes from their counterparts in lambda phage. Together, these differences may help EHEC-specific phage and their bacterial hosts adapt to the complex environment within the human intestine. Only one exo-xis region protein, Ea8.5, has been solved to date. Here, I have used the AlphaFold and RoseTTAFold machine learning algorithms to predict the structures of six exo-xis region proteins from lambda and STEC/EHEC phages. Together, the models suggest possible roles for exo-xis region proteins in transcription and the regulation of RNA polymerase.
Keyphrases
  • machine learning
  • escherichia coli
  • genome wide
  • endothelial cells
  • pseudomonas aeruginosa
  • high resolution
  • transcription factor
  • risk assessment
  • cystic fibrosis
  • induced pluripotent stem cells
  • pluripotent stem cells