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Predictive compound accumulation rules yield a broad-spectrum antibiotic

Author

Listed:
  • Michelle F. Richter

    (University of Illinois)

  • Bryon S. Drown

    (University of Illinois)

  • Andrew P. Riley

    (University of Illinois)

  • Alfredo Garcia

    (University of Illinois)

  • Tomohiro Shirai

    (University of Illinois)

  • Riley L. Svec

    (University of Illinois)

  • Paul J. Hergenrother

    (University of Illinois)

Abstract

Most small molecules are unable to rapidly traverse the outer membrane of Gram-negative bacteria and accumulate inside these cells, making the discovery of much-needed drugs against these pathogens challenging. Current understanding of the physicochemical properties that dictate small-molecule accumulation in Gram-negative bacteria is largely based on retrospective analyses of antibacterial agents, which suggest that polarity and molecular weight are key factors. Here we assess the ability of over 180 diverse compounds to accumulate in Escherichia coli. Computational analysis of the results reveals major differences from the retrospective studies, namely that the small molecules that are most likely to accumulate contain an amine, are amphiphilic and rigid, and have low globularity. These guidelines were then applied to convert deoxynybomycin, a natural product that is active only against Gram-positive organisms, into an antibiotic with activity against a diverse panel of multi-drug-resistant Gram-negative pathogens. We anticipate that these findings will aid in the discovery and development of antibiotics against Gram-negative bacteria.

Suggested Citation

  • Michelle F. Richter & Bryon S. Drown & Andrew P. Riley & Alfredo Garcia & Tomohiro Shirai & Riley L. Svec & Paul J. Hergenrother, 2017. "Predictive compound accumulation rules yield a broad-spectrum antibiotic," Nature, Nature, vol. 545(7654), pages 299-304, May.
  • Handle: RePEc:nat:nature:v:545:y:2017:i:7654:d:10.1038_nature22308
    DOI: 10.1038/nature22308
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    Citations

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    Cited by:

    1. Johannes Zuegg, 2018. "Towards a Single Model for Antibiotics against Gram-Negative Bacteria," Novel Approaches in Drug Designing & Development, Juniper Publishers Inc., vol. 4(3), pages 82-87, December.
    2. Dennis Y. Liu & Laura Phillips & Darryl M. Wilson & Kelly M. Fulton & Susan M. Twine & Alex Wong & Roger G. Linington, 2023. "Collateral sensitivity profiling in drug-resistant Escherichia coli identifies natural products suppressing cephalosporin resistance," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    3. Yadid M. Algavi & Elhanan Borenstein, 2023. "A data-driven approach for predicting the impact of drugs on the human microbiome," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    4. Yuqian Qiao & Yingde Xu & Xiangmei Liu & Yufeng Zheng & Bo Li & Yong Han & Zhaoyang Li & Kelvin Wai Kwok Yeung & Yanqin Liang & Shengli Zhu & Zhenduo Cui & Shuilin Wu, 2022. "Microwave assisted antibacterial action of Garcinia nanoparticles on Gram-negative bacteria," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    5. Dmitry Leshchiner & Federico Rosconi & Bharathi Sundaresh & Emily Rudmann & Luisa Maria Nieto Ramirez & Andrew T. Nishimoto & Stephen J. Wood & Bimal Jana & Noemí Buján & Kaicheng Li & Jianmin Gao & M, 2022. "A genome-wide atlas of antibiotic susceptibility targets and pathways to tolerance," Nature Communications, Nature, vol. 13(1), pages 1-17, December.

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