Metabolic kinetic modeling provides insight into complex biological questions, but hurdles remain

Jonathan Strutz, Jacob Martin, Jennifer Greene, Linda Broadbelt, Keith Tyo

Research output: Contribution to journalReview articlepeer-review

13 Scopus citations

Abstract

Metabolic models containing kinetic information can answer unique questions about cellular metabolism that are useful to metabolic engineering. Several kinetic modeling frameworks have recently been developed or improved. In addition, techniques for systematic identification of model structure, including regulatory interactions, have been reported. Each framework has advantages and limitations, which can make it difficult to choose the most appropriate framework. Common limitations are data availability and computational time, especially in large-scale modeling efforts. However, recently developed experimental techniques, parameter identification algorithms, as well as model reduction techniques help alleviate these computational bottlenecks. Opportunities for additional improvements may come from the rich literature in catalysis and chemical networks. In all, kinetic models are positioned to make significant impact in cellular engineering.

Original languageEnglish (US)
Pages (from-to)24-30
Number of pages7
JournalCurrent Opinion in Biotechnology
Volume59
DOIs
StatePublished - Oct 2019

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Biomedical Engineering

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