Dataset - Kinetic-model-guided engineering of multiple S. cerevisiae strains improves p-coumaric acid production
Description
Dataset supporting the results presented in the paper entitled "Kinetic-model-guided engineering of multiple S. cerevisiae strains improves p-coumaric acid production" by Narayanan, Jiang & Wang et al (https://doi.org/10.1016/j.ymben.2025.06.008). Dataset contains: steady_states.csv- The set of 5,000 steady state profiles consistent with the strain ST10284 built using pyTFA- The sample closest to the mean of all the profiles (index 3191) was used for kinetic model construction ODE nonlinear runs aimed to verify NOMAD-derived designs. Time-series growth data from Saccharomyces cerevisiae cultures measured using the Growth Profiler 960. The values represent green intensity (G-values) from a 24-well plate, recorded every 30 minutes. The corresponding code can be found at the GitHub repository (https://github.com/EPFL-LCSB/NOMAD/tree/master/ME-p-coumaric-acid)
Resources
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http://data.europa.eu/88u/dataset/oai-zenodo-org-15721286 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-15721286 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-15721286 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-15721286 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-15721286 |
Tags
- p-coumaric-acid
- rational-strain-design
- metabolic-engineering
- promoter-swapping
- large-scale-kinetic-models-of-metabolism