Prediction of Antibiotic Resistance: Time for a New Preclinical Paradigm?

Morten O. A. Sommer, Christian Munck, Rasmus Vendler Toft-Kehler, Dan I. Andersson

    Research output: Contribution to journalJournal articleResearchpeer-review


    Predicting the future is difficult, especially for evolutionary processes that are influenced by numerous unknown factors. Still, this is what is required of drug developers when they assess the risk of resistance arising against a new antibiotic candidate during preclinical development. In this Opinion article, we argue that the traditional procedures that are used for the prediction of antibiotic resistance today could be markedly improved by including a broader analysis of bacterial fitness, infection dynamics, horizontal gene transfer and other factors. This will lead to more informed preclinical decisions for continuing or discontinuing the development of drug candidates.
    Original languageEnglish
    JournalNature Reviews Microbiology
    Issue number11
    Pages (from-to)689–696
    Number of pages8
    Publication statusPublished - 2017


    • Antibacterial drug resistance
    • Antibiotics
    • Antimicrobial resistance
    • Bacterial evolution
    • Bacterial genetics
    • Clinical microbiology
    • Policy and public health in microbiology

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