| 초록 |
In the era of genome sequencing the structure of biochemical networks of many organisms can be determined more and more accurately. Mathematical approaches for quantitative and qualitative analysis of such complex networks are rapidly gaining in importance. A well-established approach often used for studying metabolic networks is the metabolic flux analysis (MFA) or, more specifically, flux balance analysis. It uses mass balancing techniques and the assumption of metabolic steady state for the formulation of linear constraints. These constraints, together with measurements of extracellular excretion and uptake rates, allow the calculation of intracellular net reaction rates, and thus the determination of metabolic flux distributions in a defined stoichiometric network. However, although MFA is a well-known and widely used framework for studying biochemical networks, there exist few a software tools that integrate these techniques in a comprehensive and user-friendly graphical user interface. Therefore, it is motivated to develop the MetaFluxNet.
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