Supplementary datasets for the manuscript "Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states" - Part 2

DOI10.5281/zenodo.7930084Zenodo7930084MaRDI QIDQ6702675

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 12 May 2023

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Description

Supplementary files containing datasets needed to reproduce the results of the manuscript Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states by S. Choudhury et al. The code to use with these data and reproduce the manuscript results is available at https://github.com/EPFL-LCSB/renaissance and https://gitlab.com/EPFL-LCSB/renaissance. The execution of parts of this code is dependent on the SkimPy toolbox (https://github.com/EPFL-LCSB/skimpy). Refer to the readme files on the RENAISSANCE code repositories for more details. The dataset contains the following files: 1. param_fixing.zip - self-explanatory (Figure 4 5); contains an explanatory note for this part (experiment_details.txt), and the file containing Km values fetched from the BRENDA database (Km_database.csv). 2. scripts.zip - scripts to generate figure 2-5 on toy data

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