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Medicinal chemistry

Antibiotic identified by AI

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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.

References

  1. Wright, G. D. Nat. Prod. Rep. 34, 694–701 (2017).

    Article  CAS  PubMed  Google Scholar 

  2. Porto, W. F. et al. Nat. Commun. 9, 1490 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  3. Torres, M. D. T. et al. Nat. Biomed. Eng. 6, 1451–1451 (2022).

    Article  PubMed  Google Scholar 

  4. Cesaro, A. et al. ACS Nano. 16, 1880–1895 (2022).

    Article  CAS  PubMed  Google Scholar 

  5. Das, P. et al. Nat. Biomed. Eng. 5, 613–623 (2021).

    Article  CAS  PubMed  Google Scholar 

  6. Sberro, H. et al. Cell 178, 1245–1259.e14 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Maasch, J. R. M. A., Torres, M. D. T., Melo, M. C. R. & de la Fuente-Nunez, C. Cell Host Microbe 31, 1260–1274.e6 (2023).

    Article  CAS  PubMed  Google Scholar 

  8. Ma, Y. et al. Nat. Biotechnol. 40, 921–931 (2022).

    Article  CAS  PubMed  Google Scholar 

  9. Wong, F., de la Fuente-Nunez, C. & Collins, J. J. Science 381, 164–170 (2023).

    Article  CAS  PubMed  Google Scholar 

  10. Torres M. D. T. et al. Preprint at bioRxiv https://doi.org/10.1101/2023.08.31.555711 (2023).

  11. Liu, G. et al. Nat. Chem. Biol. https://doi.org/10.1038/s41589-023-01349-8 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  12. Stokes, J. M. et al. Cell 180, 688–702.e13 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Jin, W. et al. Proc. Natl Acad. Sci. USA 118, e2105070118 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Preuer, K. et al. Bioinformatics 34, 1538–1546 (2018).

    Article  CAS  PubMed  Google Scholar 

  15. Bran, A. M., Cox, S., White, A. D. & Schwaller, P. Preprint at https://doi.org/10.48550/arXiv.2304.05376 (2023).

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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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