Genome scale models of yeast: towards standardized evaluation and consistent omic integration
Year: 2015
Type: review
Abstract: Genome scale models (GEMs) have enabled remarkable advances in systems biology, acting as functional databases of metabolism, and as scaffolds for the contextualization of high-throughput data. In the case of Saccharomyces cerevisiae (budding yeast), several GEMs have been published and are currently used for metabolic engineering and elucidating biological interactions. Here we review the history of yeast's GEMs, focusing on recent developments. We study how these models are typically evaluated, using both descriptive and predictive metrics. Additionally, we analyze the different ways in which all levels of omics data (from gene expression to flux) have been integrated in yeast GEMs. Relevant conclusions and current challenges for both GEM evaluation and omic integration are highlighted.
Source: Integrative Biology
DOI: 10.1039/c5ib00083a
Authors: Benjamín J. Sánchez, Jens Nielsen
Institutions: Novo Nordisk Foundation, Chalmers University of Technology
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $3,522
Award: G7701966108
OpenAlex ID: W2108977450
