%0 Journal Article %1 vonKamp2017Use %A von Kamp, Axel %A Thiele, Sven %A Hädicke, Oliver %A Klamt, Steffen %D 2017 %J Journal of biotechnology %K flux-analysis software %T Use of CellNetAnalyzer in biotechnology and metabolic engineering. %U http://view.ncbi.nlm.nih.gov/pubmed/28499817 %X Mathematical models of the cellular metabolism have become an essential tool for the optimization of biotechnological processes. They help to obtain a systemic understanding of the metabolic processes in the used microorganisms and to find suitable genetic modifications maximizing the production performance. In particular, methods of stoichiometric and constraint-based modeling are frequently used in the context of metabolic and bioprocess engineering. Since metabolic networks can be complex and comprise hundreds or even thousands of metabolites and reactions, dedicated software tools are required for an efficient analysis. One such software suite is CellNetAnalyzer, a MATLAB package providing, among others, various methods for analyzing stoichiometric and constraint-based metabolic models. CellNetAnalyzer can be used via command-line based operations or via a graphical user interface with embedded network visualizations. Herein we will present key functionalities of CellNetAnalyzer for applications in biotechnology and metabolic engineering and thereby review constraint-based modeling techniques such as metabolic flux analysis, flux balance analysis, flux variability analysis, metabolic pathway analysis (elementary flux modes) and methods for computational strain design. Copyright \copyright 2017 The Author(s). Published by Elsevier B.V. All rights reserved.

@article{vonKamp2017Use, abstract = {Mathematical models of the cellular metabolism have become an essential tool for the optimization of biotechnological processes. They help to obtain a systemic understanding of the metabolic processes in the used microorganisms and to find suitable genetic modifications maximizing the production performance. In particular, methods of stoichiometric and constraint-based modeling are frequently used in the context of metabolic and bioprocess engineering. Since metabolic networks can be complex and comprise hundreds or even thousands of metabolites and reactions, dedicated software tools are required for an efficient analysis. One such software suite is {CellNetAnalyzer}, a {MATLAB} package providing, among others, various methods for analyzing stoichiometric and constraint-based metabolic models. {CellNetAnalyzer} can be used via command-line based operations or via a graphical user interface with embedded network visualizations. Herein we will present key functionalities of {CellNetAnalyzer} for applications in biotechnology and metabolic engineering and thereby review constraint-based modeling techniques such as metabolic flux analysis, flux balance analysis, flux variability analysis, metabolic pathway analysis (elementary flux modes) and methods for computational strain design. Copyright {\copyright} 2017 The Author(s). Published by Elsevier {B.V}. All rights reserved.}, added-at = {2018-12-02T16:09:07.000+0100}, author = {von Kamp, Axel and Thiele, Sven and H\"{a}dicke, Oliver and Klamt, Steffen}, biburl = {https://www.bibsonomy.org/bibtex/2a34bcc829055227ca3e97ebf13b9bfd5/karthikraman}, citeulike-article-id = {14381054}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/28499817}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=28499817}, day = 10, interhash = {d38d014a4a505317ce02477d2a6467d1}, intrahash = {a34bcc829055227ca3e97ebf13b9bfd5}, issn = {1873-4863}, journal = {Journal of biotechnology}, keywords = {flux-analysis software}, month = may, pmid = {28499817}, posted-at = {2017-06-22 15:30:53}, priority = {2}, timestamp = {2018-12-02T16:09:07.000+0100}, title = {Use of {CellNetAnalyzer} in biotechnology and metabolic engineering.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/28499817}, year = 2017 }