Computationally efficient flux variability analysis
[摘要] BackgroundFlux variability analysis is often used to determine robustness of metabolic models in various simulation conditions. However, its use has been somehow limited by the long computation time compared to other constraint-based modeling methods.ResultsWe present an open source implementation of flux variability analysis called fastFVA. This efficient implementation makes large-scale flux variability analysis feasible and tractable allowing more complex biological questions regarding network flexibility and robustness to be addressed.ConclusionsNetworks involving thousands of biochemical reactions can be analyzed within seconds, greatly expanding the utility of flux variability analysis in systems biology.
[发布日期] 2010-09-29 [发布机构]
[效力级别] [学科分类]
[关键词] Flux Balance Analysis;Metabolic Flux Analysis;System Biology Markup Language;Biochemical Reaction Network;Network Flexibility [时效性]