Publication Date: 16 Apr 2014
Type: Commentary
Journal: Bioinformatics and Biology Insights
Citation: Bioinformatics and Biology Insights 2014:8 83-91
doi: 10.4137/BBI.S12466
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 networks-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. Then, advantages and limitations of modeling algorithms and network reconstruction are discussed.
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Bioinformatics and Biology Insights fills a gap in current journals. Ever more often, bioinformatics and detailed analysis of data creates novel, unexpected insights. It is good to have a journal which focusses on exactly this aspect of bioinformatics research, putting the biology insights upfront with high respect for the different methods in bioinformatics.
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