期刊
JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY
卷 -, 期 -, 页码 -出版社
HINDAWI LTD
DOI: 10.1155/2010/541609
关键词
-
资金
- Department of Chemical and Biomolecular Engineering, University of Maryland
- A. James Clark School of Engineering, University of Maryland
- Maryland Industrial Partnerships (MIPS) [4426]
- Jan and Anneke Sengers fellowship
Mathematical modeling plays an important and often indispensable role in synthetic biology because it serves as a crucial link between the concept and realization of a biological circuit. We review mathematical modeling concepts and methodologies as relevant to synthetic biology, including assumptions that underlie a model, types of modeling frameworks (deterministic and stochastic), and the importance of parameter estimation and optimization in modeling. Additionally we expound mathematical techniques used to analyze a model such as sensitivity analysis and bifurcation analysis, which enable the identification of the conditions that cause a synthetic circuit to behave in a desired manner. We also discuss the role of modeling in phenotype analysis such as metabolic and transcription network analysis and point out some available modeling standards and software. Following this, we present three case studies-a metabolic oscillator, a synthetic counter, and a bottom-up gene regulatory network-which have incorporated mathematical modeling as a central component of synthetic circuit design.
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