Description

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💊A new antibiotic called Zosurabalpin is entering stage III trials this year. This could be the first new class of antibiotic targeting gram negative bacteria in 50 years. Let’s explore how this drug candidate works and then check out how machine learning powered its refinement process. How helpful are bots when it comes to developing new treatments?



💻 Rendered using @BradyJohnston ‘s open-source Molecular Nodes Add-on for Blender: https://extensions.blender.org/add-ons/molecularnodes/



📚Primary Works Cited:



Zampaloni, C., Mattei, P., Bleicher, K. et al. A novel antibiotic class targeting the lipopolysaccharide transporter. Nature 625, 566–571 (2024). https://doi.org/10.1038/s41586-023-06873-0



Pahil, K.S., Gilman, M.S.A., Baidin, V. et al. A new antibiotic traps lipopolysaccharide in its intermembrane transporter. Nature 625, 572–577 (2024). https://doi.org/10.1038/s41586-023-06799-7



P. Nonejuie,M. Burkart,K. Pogliano, & J. Pogliano, Bacterial cytological profiling rapidly identifies the cellular pathways targeted by antibacterial molecules, Proc. Natl. Acad. Sci. U.S.A. 110 (40) 16169-16174, https://doi.org/10.1073/pnas.1311066110 (2013).



Zoffmann, S., Vercruysse, M., Benmansour, F. et al. Machine learning-powered antibiotics phenotypic drug discovery. Sci Rep 9, 5013 (2019). https://doi.org/10.1038/s41598-019-39387-9



Wong, F., Zheng, E.J., Valeri, J.A. et al. Discovery of a structural class of antibiotics with explainable deep learning. Nature 626, 177–185 (2024). https://doi.org/10.1038/s41586-023-06887-8



Krishnan A, Anahtar M, Valeri J …
A generative deep learning approach to de novo antibiotic design
Cell, 2025; 188, 5962-5979.e22 https://doi.org/10.1016/j.cell.2025.07.033



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