Nature Communications (Jan 2021)

Bayesian genome scale modelling identifies thermal determinants of yeast metabolism

  • Gang Li,
  • Yating Hu,
  • Jan Zrimec,
  • Hao Luo,
  • Hao Wang,
  • Aleksej Zelezniak,
  • Boyang Ji,
  • Jens Nielsen

DOI
https://doi.org/10.1038/s41467-020-20338-2
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 12

Abstract

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While temperature impacts the function of all cellular components, it’s hard to rule out how the temperature dependence of cell phenotypes emerged from the dependence of individual components. Here, the authors develop a Bayesian genome scale modelling approach to identify thermal determinants of yeast metabolism.