Atom-Resolved Genome-Scale Metabolic Models of the Human Gut Microbiome
Abstract Detailed genome-scale metabolic models (GEMs) are essential for math-ematical simulation of metabolism, with applications in industry andresearch, including bacterial community models, host-disease interactionmodels, and numerous medical applications.Here, we provide GEMs of microbial species from 7 phyla of the humangut microbiome, with novel, detailed annotations of metabolic reactionsusing validated molecular structures and complete atom-to-atom map-pings (AAMs).By incorporating structural information with AAMs, GEM applicationsgo beyond traditional stoichiometric analyses and enable atomic-level ex-amination of biochemical transformations, such as isotope-labeling stud-ies, metabolic flux tracing, and investigation of metabolic interactionsin gut microbial communities. The dataset additionally contains 65metabolic pathways, each with complete AAMs, enabling the indepen-dent modeling and analysis of individual aspects of microbial metabolism.This dataset provides a basis for developing, validating, and applyingfull-resolution metabolic models by combining genome-scale metabolicmodeling with detailed information about atomic-level reactions.
Authors
- Natasha Andressa Nogueira Jorge (ORCID: https://orcid.org/0000-0001-5200-8707)
- Nora Beier (ORCID: https://orcid.org/0009-0007-0548-3485)
- Thomas Gatter (ORCID: https://orcid.org/0000-0001-5567-3016)
- Casper Asbjørn Eriksen (ORCID: https://orcid.org/0000-0003-0474-9468)
Institutions
- University of Southern Denmark (DK)
- Leipzig University (DE)
Publication Details
- Journal
- Research Square
- Published
- 2026-11-11
- DOI
- https://doi.org/10.21203/rs.3.rs-11293845/v1
- Primary Topic
- Microbial Metabolic Engineering and Bioproduction
- Type
- preprint