Integration of machine learning and pan-genomics expands the biosynthetic landscape of RiPP natural products
A. M. Kloosterman, P. Cimermancic, S. S. Elsayed, C. Du, M. Hadjithomas, M. S. Donia, M. A. Fischbach, G. P. van Wezel, M. H. Medema
The paper introduces decRiPPter, a machine learning and pan-genomic approach to discover novel RiPP classes, identifying 42 new candidate families from Streptomyces genomes.
bioRxiv · May 19, 2020Microbiology