Mathematical modeling: bridging the gap between concept and realization in synthetic biology.
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 assumptio...
| Publicado en: | Journal of Biomedicine & Biotechnology pp. 16p - 17 |
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| Autores principales: | , |
| Formato: | equations & formulas review tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105082213&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105082213 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11107243 137K jtl: Journal of Biomedicine & Biotechnology issn: 11107243 maglogo: N pubinfo: dt: 2010 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 105082213 2010748567 10.1155/2010/541609 NLM20589069 PMC2878679 105082213 ppf: 16p ppct: 1 formats: fmt: @attributes: type: P tig: atl: Mathematical modeling: bridging the gap between concept and realization in synthetic biology. aug: au: Zheng Y Sriram G affil: Department of Chemical and Biomolecular Engineering, University of Maryland, 1208D, Chemical and Nuclear Engineering Building 090, College Park, MD 20742, USA. sug: subj: Biology Mathematics Models, Theoretical Biology Methods Mathematics Methods Phenotype Software ab: 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. pubtype: Academic Journal doctype: equations & formulas review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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