To address the antibiotic-resistance crisis, we trained a deep neural network to predict new antibiotics. We performed predictions on multiple chemical libraries and discovered a molecule from the Drug Repurposing Hub – halicin – that is structurally divergent from conventional antibiotics and displays activity against a wide spectrum of pathogens. Halicin also effectively treated Clostridioides difficile and Acinetobacter baumannii infections in mice. Deep learning approaches have utility in expanding our antibiotic arsenal.
Jonathan Stokes is a Banting Fellow in the laboratory of James Collins at the Broad Institute of MIT and Harvard. He received his BHSc in 2011, graduating summa cum laude, and his PhD in antimicrobial chemical biology in 2016, both from McMaster University. His research applies a combination of chemical biology, systems biology, and machine learning approaches to develop novel antibacterial therapies with expanded capabilities over conventional antibiotics. Dr. Stokes is the recipient of numerous awards, including the Canadian Institutes of Health Research Master’s Award, the Colin James Lyne Lock Doctoral Award, and was ranked first of just 23 postdoctoral scholars to be awarded the prestigious Banting Fellowship.