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

PLoS Biology, vol. 23, pp. e3003058

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.

Authors 2

1. Marnix H. Medema Aachen Institute of Biology, Leiden University

   Leiden University · Wageningen University & Research

   Affiliation as printed

   Bioinformatics Group, Wageningen University, Wageningen, The Netherlands

   Institute of Biology, Leiden University, Leiden, The Netherlands

2. Gilles P. van Wezel Aachen Institute of Biology, Leiden University

   Leiden University

   Affiliation as printed

   Institute of Biology, Leiden University, Leiden, The Netherlands