Human Metabolic Network-Based Analysis of Drug Responses

Advancements in high-throughput technologies have generated an abundance of information that enable exploring human metabolism as a complex system. Accordingly, there is an increasing need to develop tools that allow systematic analyses of these large datasets to generate biologically meaningful interpretations. Genome-scale reconstructions can facilitate these tasks by serving as a comprehensive knowledge base of components specific to a defined biological system and a modeling platform to analyze network capabilities as a function of context-specific data.