Figure 2.

Expanding the reach of genome-scale metabolic models for studying cancer. (A) Genome-scale metabolic models serve as biochemically-supported data-integration platforms. In the metabolic network, metabolomic data can be associated with metabolites, while genomic, transcriptomic, proteomic, and related data types can be associated with metabolic reactions. Phenotypic measurements can be used to constrain properties of the network such as growth rate under certain experimental conditions. (B) The various Hallmarks of Cancer either affect metabolism or are modulated by metabolic changes. Therefore, modeling techniques are needed to account for these interactions between metabolism and other cell processes. Panel B adapted from (Hanahan and Weinberg, 2011) and (Kroemer and Pouyssegur, 2008) with permission.