Focused natural product elucidation by prioritizing high-throughput metabolomic studies with machine learning
N. Tobias, C. Parra-Rojas, Y.-N. Shi, Y.-M. Shi, S. Simonyi, A. Thanwisai, A. Vitta, N. Chantratita, E. A. Hernandez-Vargas, H. B. Bode
The paper uses machine learning to prioritize metabolites in high-throughput metabolomic studies of Photorhabdus and Xenorhabdus bacteria, identifying previously unknown compounds.
bioRxiv · Jan 31, 2019 · PreprintMicrobiology