Dataset - Kinetic-model-guided engineering of multiple S. cerevisiae strains improves p-coumaric acid production

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:

1. 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

2. ODE nonlinear runs aimed to verify NOMAD-derived designs.
3. 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)