TAILIEUCHUNG - Báo cáo khoa học: Catabolite repression in Escherichia coli – a comparison of modelling approaches

The phosphotransferase system inEscherichia coliis a transport and sen-sory system and, in this function, is one of the key players of catabolite repression. Mathematical modelling of signal transduction and gene expres-sion of the enzymes involved in the transport of carbohydrates is a promis-ing approach in biotechnology, as it offers the possibility to achieve higher production rates of desired components. | Catabolite repression in Escherichia coli - a comparison of modelling approaches Andreas Kremling Sophia Kremling and Katja Bettenbrock Systems Biology Group Max Planck Institute for Dynamics of Complex TechnicalSystems Magdeburg Germany Keywords Escherichia coli model verification modular modelling phosphotransferase system time hierarchies Correspondence A. Kremling Systems Biology Group Max Planck Institute for Dynamics of Complex TechnicalSystems Sandtorstr. 1 39106 Magdeburg Germany Fax 49 0391 6110 526 Tel 49 0391 6110 466 E-mail kremling@ Received 26 September 2008 revised 14 November 2008 accepted 19 November 2008 The phosphotransferase system in Escherichia coli is a transport and sensory system and in this function is one of the key players of catabolite repression. Mathematical modelling of signal transduction and gene expression of the enzymes involved in the transport of carbohydrates is a promising approach in biotechnology as it offers the possibility to achieve higher production rates of desired components. In this article the relevance of methods and approaches concerning mathematical modelling in systems biology is discussed by assessing and comparing two comprehensive mathematical models that describe catabolite repression. The focus is thereby on modular modelling with the relevant input in the central modules the impact of quantitative model validation the identification of control structures and the comparison of model predictions with respect to the available experimental data. doi Research in systems biology requires experimental effort as well as theoretical attempts to elucidate the general principles of cellular dynamics and control and to help to improve molecular processes for engineering purposes or drug design. This interdisciplinary approach provides a promising method for advances in biotechnology and molecular medicine. In systems biology quantitative experimental data and .

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