TAILIEUCHUNG - Metabolomics Part 6

Tham khảo tài liệu 'metabolomics part 6', khoa học tự nhiên, công nghệ sinh học phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 116 Metabolomics to address this issue by incorporating in vivo measurements in constructing kinetic models Visser Heijnen 2003 or estimating kinetic parameters in biochemical networks using measured variables Lei Jorgensen 2001 Moles et al. 2003 Segre et al. 2003 . These methods require considerable mathematical efforts or utilize nonlinear optimization techniques. Famili et al. 2003 proposed an approach for incorporating steady-state in vivo data with constraint based modeling approach to determine all candidate numerical values of kinetic constants. The kinetic solution space termed fc-cone contains all the allowable numerical values of the kinetic constants. The fc-cone is obtained by approximating the nonlinear kinetic rate laws as a linear or bilinear function of the kinetic constants. The fc-cone approach can be used to determine consistency between in vitro measured kinetic values and in vivo concentration and flux measurements when used in a network-scale kinetic model. To calculate the relationship between kinetic parameters measured in vitro and the fc-cone optimization methods were essential. It was successful in determining whether in vitro measured kinetic values used in the reconstruction of a kinetic-based model of Saccharomyces cerevisiae central metabolism could reproduce in vivo measurements. Despite the number of research published information gained from theoretical or experimental metabolic network has not fully enabled probing biochemical pathway structure with the aim at detecting novel metabolic routes Fiehn 2007 . 4. Computational methods to integrate metabolomic data with other omics datasets It is also becoming clear that any single omics approach may not be sufficient to characterize the complexity of biological systems and an integrated omics approach may be a key to decipher complex biological systems Gygi et al. 1999 Zhang et al. 2010 . In general integrated analysis of metabolomics dataset with other types of omics datasets can .

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