In silico analysis and comparison of the metabolic capabilities of different organisms by reducing metabolic complexity
NIS provides an automated, scalable, and reproducible framework for dissecting microbial metabolic networks beyond gene content or taxonomy. By linking metabolism to ecological function, NIS offers new opportunities to interpret microbial community dynamics and to support the rational design of microbiomes in health, agriculture, and environmental applications. Video Abstract.
Authors
- Evangelia Vayena (ORCID: https://orcid.org/0000-0001-8536-4505)
- Meriç Ataman
- Vassily Hatzimanikatis
Institutions
- University of Basel (CH)
- École Polytechnique Fédérale de Lausanne (CH)
Publication Details
- Journal
- Microbiome
- Published
- 2026-02-03
- DOI
- https://doi.org/10.1186/s40168-025-02299-0
- Primary Topic
- Microbial Metabolic Engineering and Bioproduction
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung