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New solutions for antibiotic discovery: Prioritizing microbial biosynthetic space using ecology and machine learning

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  • Marnix H Medema
  • Gilles P van Wezel

Abstract

With the explosive increase in genome sequence data, perhaps the major challenge in natural-product-based drug discovery is the identification of gene clusters most likely to specify new chemistry and bioactivities. We discuss the challenges and state-of-the-art of antibiotic discovery based on ecological principles, genome mining and artificial intelligence.A major challenge in natural-product-based drug discovery is the identification of gene clusters most likely to specify new chemistry and bioactivities. This Perspective discusses the challenges and state of the art of antibiotic discovery.

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  • Marnix H Medema & Gilles P van Wezel, 2025. "New solutions for antibiotic discovery: Prioritizing microbial biosynthetic space using ecology and machine learning," PLOS Biology, Public Library of Science, vol. 23(2), pages 1-3, February.
    • Handle: RePEc:plo:pbio00:3003058
    DOI: 10.1371/journal.pbio.3003058
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