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.

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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
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preprint

Atom-Resolved Genome-Scale Metabolic Models of the Human Gut Microbiome

Natasha Andressa Nogueira Jorge, Nora Beier, Thomas Gatter, Casper Asbjørn Eriksen
Research Square
Microbial Metabolic Engineering and Bioproduction
preprint

Atom-Resolved Genome-Scale Metabolic Models of the Human Gut Microbiome

Natasha Andressa Nogueira Jorge, Nora Beier, Thomas Gatter, Casper Asbjørn Eriksen
preprint en

Abstract

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.

Research Square
University of Southern Denmark (DK), Leipzig University (DE)
Microbial Metabolic Engineering and Bioproduction
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