1 research outputs found
A study on the robustness of strain optimization algorithms
5th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2011), ISBN 978-3-642-19913-4In recent years, there have been considerable advances in the use of
genome-scale metabolic models to provide accurate phenotype simulation methods,
which in turn enabled the development of efficient strain optimization algorithms for
Metabolic Engineering. In this work, we address some of the limitations of previous
studies regarding strain optimization algorithms, mainly its use of Flux Balance
Analysis in the simulation layer.We perform a thorough analysis of previous results
by relying on Flux Variability Analysis and on alternative methods for phenotype
simulation, such as ROOM. This last method is also used in the simulation layer,
as a basis for optimization, and the results obtained are also the target of thorough
analysis and comparison with previous ones.Fundação para a Ciência e a Tecnologia (FCT) - project MIT-PT/BS-BB/0082/200