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Elucidating and engineering thiopeptide biosynthesis.

Philip R Bennallack1, Joel S Griffitts2

  • 1Vascular Biology Program, Boston Children's Hospital, Harvard Medical School, Boston, 02115, USA.

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Summary
This summary is machine-generated.

Thiopeptides are natural products made by bacteria. Recent research reveals their complex biosynthesis and modification, opening avenues for discovering new drugs through genetic engineering.

Keywords:
AntibioticMicrococcinRiPPThiopeptide

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Area of Science:

  • Biochemistry
  • Natural Products Chemistry
  • Molecular Biology

Background:

  • Thiopeptides are a diverse class of bacterially synthesized natural products with significant biological activities.
  • Their biosynthesis, involving ribosomal synthesis and extensive post-translational modifications, has only recently been elucidated.
  • Key features include azol(in)es, dehydro amino acids, and a central nitrogenous ring constraining macrocycles.

Purpose of the Study:

  • To summarize the current understanding of thiopeptide biosynthesis and modification.
  • To explore the potential for artificial diversification of thiopeptides for novel drug discovery.
  • To highlight the need for further research into enzyme specificity and substrate interactions.

Main Methods:

  • Genomic analysis to identify thiopeptide gene clusters.
  • Genetic manipulation to study biosynthetic pathways.
  • Biochemical assays to characterize enzyme activities and substrate specificities.

Main Results:

  • Thiopeptides are ribosomally synthesized and extensively modified by a conserved enzymatic machinery.
  • Landmark studies have defined the post-translational modification cascade.
  • The plasticity of processing enzymes suggests potential for artificial diversification.

Conclusions:

  • Understanding thiopeptide biosynthesis provides a foundation for exploring new chemical entities.
  • Artificial diversification strategies hold promise for discovering novel thiopeptides with clinical applications.
  • Continued mining of genomic data is crucial for identifying new thiopeptides and enzymes.