Over the past decades, advances in high-throughput technologies have fostered the development of novel model-driven methods, which are able to analyze the increasing amount of omic data and extract meaningful biological knowledge. These computational methods have proven to be a powerful tool to dissect the molecular mechanisms underlying observed phenomena in complex biological systems. This chapter summarizes different strategies to integrate multiple omic data types into the most widely used metabolic model-driven approaches: kinetic and constraint-based modeling. In addition, some of the most relevant applications of metabolic modeling in foodomics are presented and future aspects in this discipline are discussed.
|Number of pages||22|
|Publication status||Published - 2021|