In the last few decades, metabolic networks revealed their capabilities as powerful tools to analyze the cellular metabolism. Many research fields (eg, metabolic engineering, diagnostic medicine, pharmacology, biochemistry, biology and physiology) improved the understanding of the cell combining experimental assays and metabolic network-based computations. This process led to the rise of the "systems biology" approach, where the theory meets experiments and where two complementary perspectives cooperate in the study of biological phenomena. Here, the reconstruction of metabolic networks is presented, along with established and new algorithms to improve the description of cellular metabolism. Ten, advantages and limitations of modeling algorithms and network reconstruction are discussed. © The authors, publisher and licensee libertas academica limited.
CITATION STYLE
Bazzani, S. (2014). Promise and reality in the expanding field of network interaction analysis: Metabolic networks. Bioinformatics and Biology Insights, 8, 83–91. https://doi.org/10.4137/bbi.s12466
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