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Medicinal chemistry

Antibiotic identified by AI

Nature Chemical Biology volume 19, pages 1296–1298 (2023)Cite this article

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Computational approaches are emerging as powerful tools for the discovery of antibiotics. A study now uses machine learning to discover abaucin, a potent antibiotic that targets the bacterial pathogen Acinetobacter baumannii.

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Fig. 1: The discovery of abaucin driven by machine learning.

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Authors and Affiliations

  1. Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

    Angela Cesaro & Cesar de la Fuente-Nunez

  2. Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA

    Angela Cesaro & Cesar de la Fuente-Nunez

  3. Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA

    Angela Cesaro & Cesar de la Fuente-Nunez

Authors
  1. Angela Cesaro
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  2. Cesar de la Fuente-Nunez
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Correspondence to Cesar de la Fuente-Nunez.

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Competing interests

C.F.-N. provides consulting services to Invaio Sciences and is a member of the scientific advisory boards of Nowture S.L. and Phare Bio. The de la Fuentel lab has received research funding or in-kind donations from United Therapeutics, Strata Manufacturing PJSC, and Procter & Gamble, none of which were used in support of this work.

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Cesaro, A., de la Fuente-Nunez, C. Antibiotic identified by AI. Nat Chem Biol 19, 1296–1298 (2023). https://doi.org/10.1038/s41589-023-01448-6

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