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Targeting membrane-bound bacterial cell wall precursors: a tried and true antibiotic strategy in nature and the clinic.

Ned P BuijsEilidh J MathesonStephen A CochraneNathaniel I Martin
Published in: Chemical communications (Cambridge, England) (2023)
Since Fleming's discovery of penicillin nearly a century ago, a bounty of natural product antibiotics have been discovered, many of which continue to be of clinical importance today. The structural diversity encountered among nature's repertoire of antibiotics is mirrored by the varying mechanisms of action by which they selectively target and kill bacterial cells. The ability for bacteria to construct and maintain a strong cell wall is essential for their robust growth and survival under a range of conditions. However, the need to maintain the cell wall also presents a vulnerability that is exploited by many natural antibiotics. Bacterial cell wall biosynthesis involves both the construction of complex membrane-bound precursor molecules and their subsequent crosslinking by dedicated enzymes. Interestingly, many naturally occurring antibiotics function not by directly inhibiting the enzymes associated with cell wall biosynthesis, but rather by binding tightly to their membrane-bound substrates. Such substrate sequestration mechanisms are comparatively rare outside of the antibiotics space with most small-molecule drug discovery programs instead aimed at developing inhibitors of target enzymes. In this feature article we provide the reader with an overview of the unique and ever increasing family of natural product antibiotics known to specifically function by binding to membrane-anchored bacterial cell wall precursors. In doing so, we highlight both our own contributions to the field as well as those made by other researchers engaged in exploring the potential offered by antibiotics that target bacterial cell wall precursors.
Keyphrases
  • cell wall
  • small molecule
  • drug discovery
  • primary care
  • public health
  • signaling pathway
  • cell death
  • transcription factor
  • drug delivery
  • deep learning
  • cancer therapy
  • binding protein
  • human health