title: INCA: a computational platform for isotopically non-stationary metabolic flux analysis.
abstract: 13C flux analysis studies have become an essential component of metabolic engineering research. The scope of these studies has gradually expanded to include both isotopically steady-state and transient labeling experiments, the latter of which are uniquely applicable to photosynthetic organisms and slow-to-label mammalian cell cultures. Isotopomer network compartmental analysis (INCA) is the first publicly available software package that can perform both steady-state metabolic flux analysis and isotopically non-stationary metabolic flux analysis. The software provides a framework for comprehensive analysis of metabolic networks using mass balances and elementary metabolite unit balances. The generation of balance equations and their computational solution is completely automated and can be performed on networks of arbitrary complexity.
authors.affiliation: Department of Chemical and Biomolecular Engineering and Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37235-1604, USA.
authors.forename: Jamey D
authors.initials: JD
authors.lastname: Young
mesh_terms: D002247:Carbon Isotopes / Q000032:analysis / Q000378:metabolism; D003198:Computer Simulation; D064688:Metabolic Flux Analysis / Q000379:methods*; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D012984:Software
chemical_list: D002247:Carbon Isotopes