Systematic Reduction of Genome-Scale Models for the Study of Metabolic Phenotypes of Human Cells
Conference on Constraint-Based Reconstruction and Analysis (COBRA)
2018
5th Conference on Constraint-Based Reconstruction and Analysis (COBRA 2018)
Poster Session
Poster Session
Sunday, October 14, 2018 - 6:00pm to 7:00pm
The reconstruction of genome-scale models (GEMs) enables the computation of phenotypic traits based on the genetic composition of a target organism. To overcome the well-known challenges when working with large networks, we generate systematically reduced models around specific subsystems. Within this framework, we curate the GEMs to include the thermodynamic properties of the network metabolites and reactions. Furthermore, we consider the composition and utilization of the extracellular-medium metabolites, and the synthesis of the biomass precursor metabolites. The reduced models can be used for a broad range of applications extending from omics data integration to kinetic models.
We demonstrate here that the study of reduced human GEMs can provide insight and a systematic framework to compare different versions of GEMs (Recon 2 versus Recon 3) as well as different cellular physiologies, such as, diseased versus healthy phenotypes.