Jungreuthmayer Christian, Ruckerbauer David E, Zanghellini Jürgen
Austrian Centre of Industrial Biotechnology, Vienna, Austria.
Biosystems. 2013 Jul;113(1):37-9. doi: 10.1016/j.biosystems.2013.04.002. Epub 2013 May 7.
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.
尽管近年来取得了显著进展,但计算大型甚至基因组规模代谢网络的完整基本通量模式集仍然是不可能的。我们提出了regEfmtool,它是efmtool的扩展,利用转录调控网络来计算基本通量模式。通过省略生物学上不可行的解决方案,所实现的扩展显著降低了计算基本通量模式的计算成本,如运行时间、内存使用和磁盘空间。因此,使用所提出的regEfmtool将可通过基本通量模式研究的代谢网络规模推到了新的极限。