期刊
JOURNAL OF THE ROYAL SOCIETY INTERFACE
卷 14, 期 136, 页码 -出版社
ROYAL SOC
DOI: 10.1098/rsif.2017.0502
关键词
microbial growth; mathematical modelling; metabolic and gene regulatory networks; systems biology
资金
- Programme Investissements d'Avenir, Bio-informatique, RESET [ANR-11-BINF-0005]
- Inria Project Lab AlgaeInSilico
- research program Labex SIGNALIFE [ANR-11-LABX-0028-01]
- Conseil Regional PACA
- Agence Nationale de la Recherche (ANR) [ANR-11-BINF-0005] Funding Source: Agence Nationale de la Recherche (ANR)
The growth of microorganisms involves the conversion of nutrients in the environment into biomass, mostly proteins and other macromolecules. This conversion is accomplished by networks of biochemical reactions cutting across cellular functions, such as metabolism, gene expression, transport and signalling. Mathematical modelling is a powerful tool for gaining an understanding of the functioning of this large and complex system and the role played by individual constituents and mechanisms. This requires models of microbial growth that provide an integrated view of the reaction networks and bridge the scale from individual reactions to the growth of a population. In this review, we derive a general framework for the kinetic modelling of microbial growth from basic hypotheses about the underlying reaction systems. Moreover, we show that several families of approximate models presented in the literature, notably flux balance models and coarse-grained whole-cell models, can be derived with the help of additional simplifying hypotheses. This perspective clearly brings out how apparently quite different modelling approaches are related on a deeper level, and suggests directions for further research.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据