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Strategies to access biosynthetic novelty in bacterial genomes for drug discovery.

Franziska HemmerlingJörn Piel
Published in: Nature reviews. Drug discovery (2022)
Bacteria provide a rich source of natural products with potential therapeutic applications, such as novel antibiotic classes or anticancer drugs. Bioactivity-guided screening of bacterial extracts and characterization of biosynthetic pathways for drug discovery is now complemented by the availability of large (meta)genomic collections, placing researchers into the postgenomic, big-data era. The progress in next-generation sequencing and the rise of powerful computational tools provide unprecedented insights into unexplored taxa, ecological niches and 'biosynthetic dark matter', revealing diverse and chemically distinct natural products in previously unstudied bacteria. In this Review, we discuss such sources of new chemical entities and the implications for drug discovery with a particular focus on the strategies that have emerged in recent years to identify and access novelty.
Keyphrases
  • drug discovery
  • big data
  • artificial intelligence
  • machine learning
  • copy number
  • climate change
  • drinking water
  • dna methylation
  • human health
  • deep learning
  • genome wide
  • drug induced