title: regEfmtool: speeding up elementary flux mode calculation using transcriptional regulatory rules in the form of three-state logic.
abstract: Despite the considerable progress made in recent years, the computation of the complete set of elementary flux modes of large or even genome-scale metabolic networks is still impossible. We present regEfmtool which is an extension to efmtool that utilizes transcriptional regulatory networks for the computation of elementary flux modes. The implemented extension significantly decreases the computational costs for the calculation of elementary flux modes, such as runtime, memory usage and disk space by omitting biologically infeasible solutions. Hence, using the presented regEfmtool pushes the size of metabolic networks that can be studied by elementary flux modes to new limits.
authors.affiliation: Austrian Centre of Industrial Biotechnology, Vienna, Austria. christian.jungreuthmayer@acib.at
authors.forename: Christian
authors.initials: C
authors.lastname: Jungreuthmayer
authors.forename: David E
authors.initials: DE
authors.lastname: Ruckerbauer
authors.forename: Jürgen
authors.initials: J
authors.lastname: Zanghellini
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D053263:Gene Regulatory Networks; D053858:Metabolic Networks and Pathways / Q000235:genetics / Q000502:physiology*; D008954:Models, Biological; D015203:Reproducibility of Results; D012984:Software