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)
