Deep learning extracts MoA-specific signatures from high-throughput images of chemically and genetically perturbed Corynebacteria
Daniel Krentzel, Julienne Petit, Yves‐Marie Boudehen, Nassim Mahtal, Elodie Sadowski, Agnès Zettor, Alexandra Aubry, Jeanne Chiaravalli, Nathalie Aulner, S. Petrella, Pedro M. Alzari, Christophe Zimmer, Anne Marie Wehenkel
This paper develops a deep learning model to identify drug modes of action from high-throughput images of chemically and genetically perturbed Corynebacteria.
Science Advances · Sep 25, 2026Peer-reviewedMicrobiology