Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Nov;19(11):1342-1350.
doi: 10.1038/s41589-023-01349-8. Epub 2023 May 25.

Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii

Affiliations

Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii

Gary Liu et al. Nat Chem Biol. 2023 Nov.

Abstract

Acinetobacter baumannii is a nosocomial Gram-negative pathogen that often displays multidrug resistance. Discovering new antibiotics against A. baumannii has proven challenging through conventional screening approaches. Fortunately, machine learning methods allow for the rapid exploration of chemical space, increasing the probability of discovering new antibacterial molecules. Here we screened ~7,500 molecules for those that inhibited the growth of A. baumannii in vitro. We trained a neural network with this growth inhibition dataset and performed in silico predictions for structurally new molecules with activity against A. baumannii. Through this approach, we discovered abaucin, an antibacterial compound with narrow-spectrum activity against A. baumannii. Further investigations revealed that abaucin perturbs lipoprotein trafficking through a mechanism involving LolE. Moreover, abaucin could control an A. baumannii infection in a mouse wound model. This work highlights the utility of machine learning in antibiotic discovery and describes a promising lead with targeted activity against a challenging Gram-negative pathogen.

PubMed Disclaimer

Comment in

  • A new antibiotic for A. baumannii.
    Crunkhorn S. Crunkhorn S. Nat Rev Drug Discov. 2023 Jul;22(7):538. doi: 10.1038/d41573-023-00090-0. Nat Rev Drug Discov. 2023. PMID: 37286781 No abstract available.

Similar articles

Cited by

References

    1. Antunes, L. C. S., Visca, P. & Towner, K. J. Acinetobacter baumannii: evolution of a global pathogen. Pathog. Dis. 71, 292–301 (2014). - PubMed
    1. 2020 Antibacterial Agents in Clinical and Preclinical Development: An Overview and Analysis (World Health Organization, 2021); https://www.who.int/publications/i/item/9789240021303
    1. Walsh, C. Where will new antibiotics come from? Nat. Rev. Microbiol. 1, 65–70 (2003). - PubMed
    1. Tommasi, R., Brown, D. G., Walkup, G. K., Manchester, J. I. & Miller, A. A. ESKAPEing the labyrinth of antibacterial discovery. Nat. Rev. Drug Discov. 14, 529–542 (2015). - PubMed
    1. Stokes, J. M. et al. A deep learning approach to antibiotic discovery. Cell 180, 688–702 (2020). - PubMed - PMC

Substances

LinkOut - more resources

-