Year: 2014
Type: article
Abstract: Summary: 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. Availability and implementation: MATLAB p-code files are freely available for non-commercial use and can be downloaded at http://mfa.vueinnovations.com. Commercial licenses are also available. Contact: [email protected]
Source: Bioinformatics
Author: Jamey D. Young
Institution: Vanderbilt University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: bronze
Awards: Engineering C3 Plants with Carbon Concentrating Mechanisms for Enhanced Photosynthesis, ENHANCING MATABOLIC FLUX TO PHOTOSYNTHETIC BIOFUELS, CAREER: Metabolic Determinants of Programmed Cell Death in Hepatic Lipotoxicity, Collaborative Research: GOALI: Exploiting metabolism-apoptosis interactions to enhance mammalian cell culture, Nonstationary Isotopic Tracer Analysis of Hepatocytes, G539208770, Collaborative Research: Engineering Approaches to Cancer Metabolism to Interpret and Develop Improved Treatment Modalities, Role of Glutaminolysis in the Myc-induced Metabolic Phenotype of Tumor Cells
OpenAlex ID: W2134138595