In this episode Nadine Ziemert, professor for translational genome mining at the University of Tübingen, explores the urgent need for new antibiotics due to rising antibiotic resistance. Gain profound insights on how researchers are using bacterial genomes to predict and discover novel antibiotics. Discover the potential of leveraging machine learning to develop innovative approaches in antibiotics discovery and what role the largely untapped soil microbiome plays. Learn about the ambitiuos mission of the BGC (Biosynthentic Gene Clusters) atlas, a global community project aimed at maping the genetic basis of the chemistry in all kinds of metagenomes present around the world.
Nadine Ziemert received her Diploma and PhD degrees from the Humboldt University in Berlin, followed by a postdoc and project scientist position at the Scripps Institution of Oceanography in La Jolla, California. Since 2015, she is a Professor at the University of Tübingen, where she leads an interdisciplinary research group focusing on genome mining approaches and the evolution of secondary metabolites in bacteria and their diverse functions. Her work focuses on developing bioinformatic tools for the discovery of natural products from microbial genomes, elucidating the evolutionary history of their biosynthetic gene clusters and tracing their distribution in the environment.