Genome-scale metabolic modeling has emerged as a promising way to study the metabolic alterations underlying cancer by identifying novel drug targets and biomarkers. To date, several computational met
We provide a model of glycolysis and TCA cycle in cancers in which IDH is encountered both in its wild type form as well as mutated and capable of catalyzing an onco-metabolite. The model is construct
(A) Pearson's pairwise correlation plot shows correlation of gene expression P/A calls (right-bottom; green) and model structures (left-upper; purple) between cancer types. Values next to the correlat
List of files: 1. Pareto_Solutions.csv: Pareto solutions (i.e. metabolic flux configurations with Pareto optimality in maximizing ATP or biomass production and minimizing enzyme abundance or carbon up
The metabolic phenotype of cancer cells is reflected by the metabolites they consume and by the byproducts they release. Here, we use quantitative, extracellular metabolomic data of the NCI-60 panel a