Resource balance analysis

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Resource balance analysis (RBA) is an approach for developing genome-scale models of biological systems. RBA models use a detailed blueprint of the cell to accurately predict its macromolecular composition. Starting from metabolic network reconstructions, they can be indefinitely refined by adding cellular processes (such as translation, transcription, secretion, chaperoning etc.). The RBA framework has been developed to describe bacterial populations in batch mode and is currently extended to dynamical conditions, bacterial populations in a chemostat, and eukaryotic organisms.

This website provides resources for RBA including models, python code, and learning materials.

When using the RBApy modelling package, please cite: Bulović A. et al. (2019), Metabolic Engineering, 55, 12-22 [pdf].