ArticleBioinformatics advances2026
RBApy: extending resource allocation modeling to eukaryotes in complex environments.
Article in Bioinformatics advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
6 authors.
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Abstract
Motivation: Resource allocation modeling-as the Resource Balance Analysis (RBA) framework-provides a way to understand and predict how limited cellular resources (e.g. energy, proteins, etc.) in cells are distributed among competing cell processes within a limited cellular space. Currently, resource allocation modeling for eukaryotes remains limited due to the lack of software capable of generating calibrated RBA models for these types of cells, unlike prokaryotes, which benefit from the software tools such as RBApy, RBAtools, and the RBAml format for model encoding. Results: Here, we extended the RBA toolkit (RBApy, RBAtools, and RBAml) to account for specific aspects of eukaryotic cells growing in complex environments such as varying temperature, light, or nutritional conditions. We used them to generate and simulate RBA models of both prokaryotic ( Availability and implementation: RBApy and RBAtools are available via PyPI and at https://github.com/RBAgroup.
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