PyTFA and matTFA: a Python package and a Matlab toolbox for Thermodynamics-based Flux Analysis.

ABSTRACT: Summary:pyTFA and matTFA are the first published implementations of the original TFA paper. Specifically, they include explicit formulation of Gibbs energies and metabolite concentrations, which enables straightforward integration of metabolite concentration measurements. Motivation:High-throughput analytic technologies provide a wealth of omics data that can be used to perform thorough analyses for a multitude of studies in the areas of Systems Biology and Biotechnology. Nevertheless, most studies are still limited to constraint-based Flux Balance Analyses (FBA), neglecting an important physicochemical constraint: thermodynamics. Thermodynamics-based Flux Analysis (TFA) in metabolic models enables the integration of quantitative metabolomics data to study their effects on the net-flux dir

SUBMITTER: Salvy P 

PROVIDER: S-EPMC6298055 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature