Mitja M. Zdouc

About

Mitja M. Zdouc is an Assistant Professor in Natural Product Research at the University of Vienna, Austria. His work focuses on digitizing natural product research data, the use of machine learning for natural product prioritization, and hypothesis-driven wet-lab exploration.

Employment

• Wageningen University & Research Postdoc
  2022 - 2026
• Stadtapotheke Kitzbühel Pharmacist
  2020 - 2022
• Naicons Srl PhD Student
  2017 - 2020
• University of Vienna

Education

• University of Amsterdam Doctor of Philosophy
  2018 - 2021
• University of Vienna Master of Pharmacy
  2011 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (21)

• Charting the Biosynthetic Landscape of Hybrid Polyketide-Nonribosomal Peptide-Specialized Lipids
  JACS Au 2026 DOI: 10.1021/jacsau.6c00386
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• New insights into the microbiome of the deep-sea sponge Inflatella pellicula and the secondary metabolic potential of metagenome-assembled genomes and the wider microbiome
  Microbial Genomics 2026 DOI: 10.1099/mgen.0.001602
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• FERMO: A Dashboard for Biochemometric Prioritization of Molecular Features from Mass Spectral Data
  ACS Measurement Science Au 2026 DOI: 10.1021/acsmeasuresciau.6c00022
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• Non-targeted metabolomics-based molecular networking enables the chemical characterization of Rumex sanguineus, a wild edible plant
  Metabolomics 2025 DOI: 10.1007/s11306-024-02210-2
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• MIBiG 4.0: advancing biosynthetic gene cluster curation through global collaboration
  Nucleic Acids Research 2025 DOI: 10.1093/nar/gkae1115
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• Olive mill solid waste induces beneficial mushroom-specialized metabolite diversity revealed by computational metabolomics strategies
  Metabolomics 2025 DOI: 10.1007/s11306-025-02257-9
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• antiSMASH 8.0: extended gene cluster detection capabilities and analyses of chemistry, enzymology, and regulation
  Nucleic Acids Research 2025 DOI: 10.1093/nar/gkaf334
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• Multilaboratory Untargeted Mass Spectrometry Metabolomics Collaboration to Identify Bottlenecks and Comprehensively Annotate A Single Dataset
  Analytical Chemistry 2025 DOI: 10.1021/acs.analchem.4c05577
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• MITE: the Minimum Information about a Tailoring Enzyme database for capturing specialized metabolite biosynthesis
  2025 DOI: 10.1093/nar/gkaf969
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• Charting the biosynthetic landscape of hybrid polyketide-nonribosomal peptide-specialized lipids
  2025 DOI: 10.1101/2025.10.24.682833
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