Using resource constraints derived from genomic and proteomic data in metabolic network models

The increasing amount of available high-content data in genomics, proteomics, and metabolomics has significantly improved the predictive power model accuracy genome-scale metabolic network models recent years. We review constraint-based modeling approaches that incorporate genomics proteomics to form resource allocation models. Different build related enzyme-constrained are discussed evaluated with respect differences regarding features. In addition, an overview required construct, simulate validate for different is given, together a list relevant databases.