Skip to main content
Advertisement
  • Loading metrics

A Virtual Infection Model Quantifies Innate Effector Mechanisms and Candida albicans Immune Escape in Human Blood

  • Kerstin Hünniger ,

    Contributed equally to this work with: Kerstin Hünniger, Teresa Lehnert

    Affiliation Septomics Research Center, Friedrich Schiller University and Leibniz Institute for Natural Product Research and Infection Biology – Hans-Knöll-Institute (HKI), Jena, Germany

  • Teresa Lehnert ,

    Contributed equally to this work with: Kerstin Hünniger, Teresa Lehnert

    Affiliations Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology – Hans-Knöll-Institute (HKI), Jena, Germany, Friedrich Schiller University Jena, Jena, Germany

  • Kristin Bieber,

    Affiliation Septomics Research Center, Friedrich Schiller University and Leibniz Institute for Natural Product Research and Infection Biology – Hans-Knöll-Institute (HKI), Jena, Germany

  • Ronny Martin,

    Affiliation Septomics Research Center, Friedrich Schiller University and Leibniz Institute for Natural Product Research and Infection Biology – Hans-Knöll-Institute (HKI), Jena, Germany

  • Marc Thilo Figge ,

    thilo.figge@hki-jena.de (MTF); oliver.kurzai@hki-jena.de (OK)

    Affiliations Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology – Hans-Knöll-Institute (HKI), Jena, Germany, Friedrich Schiller University Jena, Jena, Germany

  • Oliver Kurzai

    thilo.figge@hki-jena.de (MTF); oliver.kurzai@hki-jena.de (OK)

    Affiliation Septomics Research Center, Friedrich Schiller University and Leibniz Institute for Natural Product Research and Infection Biology – Hans-Knöll-Institute (HKI), Jena, Germany

Viewed

Cited

Saved

Discussed

Powered by Altmetric
Questions or concerns about usage data? Please let us know.