PhysiCelldFBA/dfba_sbml_models: PhysiCelldFBA Models Paper Release

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Authors: Miguel Ponce de León, Marco Ruscone, Othmane Hayoun Mya
Cited by: 1

Abstract

This is the first public release of dfba_sbml_models, accompanying the PhysiCelldFBA manuscript. The repository provides the curated genome-scale metabolic models and preprocessing workflow used in the simulation case studies presented in the paper. Included models Escherichia coli core metabolic model iML1515 (Escherichia coli) iCB925 (Clostridium beijerinckii) iMG746 (Methanosarcina barkeri Fusaro) MCF7 genome-scale metabolic model from Zielinski et al. (2017) Repository contents Scripts to retrieve publicly available metabolic models. Model-specific preprocessing notebooks. Automated preprocessing pipeline (prepare_models.py). Curated SBML models used in the PhysiCelldFBA manuscript. Documentation describing the complete curation workflow. The original metabolic reconstructions remain the work of their respective authors. This repository provides the curated versions and preprocessing workflow required to reproduce the PhysiCelldFBA simulation examples. If you use this repository, please cite: the original publications describing the metabolic models; the PhysiCelldFBA publication; the Zenodo archive associated with this release.

Fields of Study & Subjects

Microbial Metabolic Engineering and Bioproduction Microbial metabolism and enzyme function Anaerobic Digestion and Biogas Production

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
14 July 2026