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Updated: Jun 29, 2025

High-Throughput Metabolic Profiling for Model Refinements of Microalgae
Published on: December 4, 2021
PyCoMo: a python package for community metabolic model creation and analysis
Michael Predl1,2, Marianne Mießkes3,4, Thomas Rattei1,2
1Department of Microbiology and Ecosystem Science, Division of Computational Systems Biology, Centre for Microbiology and Environmental Systems Science, University of Vienna, 1030 Vienna, Austria.
Summary:
PyCoMo is a python package for quick and easy generation of genome-scale compartmentalized community metabolic models that are compliant with current openCOBRA file formats. The resulting models can be used to predict (i) the maximum growth rate at a given abundance profile, (ii) the feasible community compositions at a given growth rate, and (iii) all exchange metabolites and cross-feeding interactions in a community metabolic model independent of the abundance profile; we demonstrate PyCoMo's capability by analysing methane production in a previously published simplified biogas community metabolic model.
Availability And Implementation:
PyCoMo is freely available under an MIT licence at http://github.com/univieCUBE/PyCoMo, the Python Package Index, and Zenodo.
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