期刊
BIOTECHNOLOGY ADVANCES
卷 35, 期 8, 页码 981-1003出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.biotechadv.2017.09.005
关键词
Kinetic models; Metabolic modelling; Enzyme kinetics; Parameter estimation; Metabolic control analysis; Monte Carlo simulation
资金
- Becas-Chile
- Australian Government Research Training Program Scholarships
- NNF Center for Biosustainability [Quantitative Modeling of Cell Metab] Funding Source: researchfish
- Novo Nordisk Fonden [NNF10CC1016517, NNF14OC0009473] Funding Source: researchfish
Kinetic models are critical to predict the dynamic behaviour of metabolic networks. Mechanistic kinetic models for large networks remain uncommon due to the difficulty of fitting their parameters. Recent modelling frameworks promise new ways to overcome this obstacle while retaining predictive capabilities. In this review, we present an overview of the relevant mathematical frameworks for kinetic formulation, construction and analysis. Starting with kinetic formalisms, we next review statistical methods for parameter inference, as well as recent computational frameworks applied to the construction and analysis of kinetic models. Finally, we discuss opportunities and limitations hindering the development of larger kinetic reconstructions.
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