A robust and efficient method for estimating enzyme complex abundance and metabolic flux from expression data.

ABSTRACT: A major theme in constraint-based modeling is unifying experimental data, such as biochemical information about the reactions that can occur in a system or the composition and localization of enzyme complexes, with high-throughput data including expression data, metabolomics, or DNA sequencing. The desired result is to increase predictive capability and improve our understanding of metabolism. The approach typically employed when only gene (or protein) intensities are available is the creation of tissue-specific models, which reduces the available reactions in an organism model, and does not provide an objective function for the estimation of fluxes. We develop a method, flux assignment with LAD (least absolute deviation) convex objectives and normalization (FALCON), that employs metabolic

SUBMITTER: Barker BE 

PROVIDER: S-EPMC4684447 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature