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

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Narayanan, Bharath;Jiang, Wei;Wang, Shengbao;Saez Saez, Javier;Weilandt, Danierl Robert;Masid, Maria;Hesselberg-Thomsen, Victor;Borodina, Irina;Hatzimanikatis, Vassily;Miskovic, Ljubisa

Description

Dataset supporting the results presented in the paper entitled "Kinetic-model-guided engineering of multiple S. cerevisiae strains improves p-coumaric acid production" (https://doi.org/10.1101/2024.12.15.628543).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 constructionODE nonlinear runs aimed to verify NOMAD derived designsThe corresponding code can be found at the GitHub repository (https://github.com/EPFL-LCSB/NOMAD/tree/master/ME-p-coumaric-acid)

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.7

FAIR Score

69%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Safety, Risk, Reliability and Quality

Field

Engineering

Domain

Physical Sciences

Confidence Score

35%

Source

Scholar Data Model

Normalization Factors

FT

63.46

CTw

1.00

MTw

1.00