Building kinetic models for metabolic engineering

Charles J. Foster, Lin Wang, Hoang V. Dinh, Patrick F. Suthers, Costas D. Maranas

Research output: Contribution to journalReview articlepeer-review

25 Scopus citations


Kinetic formalisms of metabolism link metabolic fluxes to enzyme levels, metabolite concentrations and their allosteric regulatory interactions. Though they require the identification of physiologically relevant values for numerous parameters, kinetic formalisms uniquely establish a mechanistic link across heterogeneous omics datasets and provide an overarching vantage point to effectively inform metabolic engineering strategies. Advances in computational power, gene annotation coverage, and formalism standardization have led to significant progress over the past few years. However, careful interpretation of model predictions, limited metabolic flux datasets, and assessment of parameter sensitivity remain as challenges. In this review we highlight fundamental considerations which influence model quality and prediction, advances in methodologies, and success stories of deploying kinetic models to guide metabolic engineering.

Original languageEnglish (US)
Pages (from-to)35-41
Number of pages7
JournalCurrent Opinion in Biotechnology
StatePublished - Feb 2021

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Bioengineering
  • Biomedical Engineering


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